[FreeCourseSite com] Udemy - Machine Learning A-Zâ„¢ Hands-On Python & R In Data Science

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[FreeCourseSite com] Udemy - Machine Learning A-Zâ„¢ Hands-On Python & R In Data Science

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Name:[FreeCourseSite com] Udemy - Machine Learning A-Zâ„¢ Hands-On Python & R In Data Science

Infohash: 6CAF766737566C2DDC2ADE7A35A73058628F11CA

Total Size: 5.48 GB

Magnet: Magnet Download

Seeds: 0

Leechers: 0

Stream: Watch Full Movies @ LimeMovies

Last Updated: 2026-01-12 06:21:29 (Update Now)

Torrent added: 2018-01-28 17:46:13

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Torrent Files List

01 Welcome to the course! (Size: 5.48 GB) (Files: 538)

01 Welcome to the course!

001 Applications of Machine Learning-subtitle-en.srt

5.51 KB

001 Applications of Machine Learning.mp4

7.99 MB

002 Why Machine Learning is the Future-subtitle-en.srt

9.58 KB

002 Why Machine Learning is the Future.mp4

12.81 MB

003 Installing R and R Studio (MAC & Windows)-subtitle-en.srt

9.19 KB

003 Installing R and R Studio (MAC & Windows).mp4

17.55 MB

004 Update_ Recommended Anaconda Version.html

2.25 KB

005 Installing Python and Anaconda (MAC & Windows)-subtitle-en.srt

12.30 KB

005 Installing Python and Anaconda (MAC & Windows).mp4

19.52 MB

006 BONUS_ Meet your instructors.html

2.16 KB

02 -------------------- Part 1_ Data Preprocessing --------------------

007 Welcome to Part 1 - Data Preprocessing-subtitle-en.srt

2.52 KB

007 Welcome to Part 1 - Data Preprocessing.mp4

2.98 MB

008 Get the dataset-subtitle-en.srt

11.09 KB

008 Get the dataset.mp4

21.15 MB

009 Importing the Libraries-subtitle-en.srt

8.41 KB

009 Importing the Libraries.mp4

11.07 MB

010 Importing the Dataset-subtitle-en.srt

18.66 KB

010 Importing the Dataset.mp4

23.31 MB

012 Missing Data-subtitle-en.srt

23.63 KB

012 Missing Data.mp4

32.16 MB

013 Categorical Data-subtitle-en.srt

27.01 KB

013 Categorical Data.mp4

40.79 MB

014 Splitting the Dataset into the Training set and Test set-subtitle-en.srt

26.90 KB

014 Splitting the Dataset into the Training set and Test set.mp4

39.03 MB

015 Feature Scaling-subtitle-en.srt

23.47 KB

015 Feature Scaling.mp4

34.62 MB

016 And here is our Data Preprocessing Template!-subtitle-en.srt

14.16 KB

016 And here is our Data Preprocessing Template!.mp4

19.67 MB

03 -------------------- Part 2_ Regression --------------------

017 Welcome to Part 2 - Regression.html

1.97 KB

04 Simple Linear Regression

018 How to get the dataset-subtitle-en.srt

4.93 KB

018 How to get the dataset.mp4

11.71 MB

019 Dataset + Business Problem Description-subtitle-en.srt

4.08 KB

019 Dataset + Business Problem Description.mp4

6.62 MB

020 Simple Linear Regression Intuition - Step 1-subtitle-en.srt

8.30 KB

020 Simple Linear Regression Intuition - Step 1.mp4

9.47 MB

021 Simple Linear Regression Intuition - Step 2-subtitle-en.srt

4.34 KB

021 Simple Linear Regression Intuition - Step 2.mp4

5.37 MB

022 Simple Linear Regression in Python - Step 1-subtitle-en.srt

15.47 KB

022 Simple Linear Regression in Python - Step 1.mp4

21.72 MB

023 Simple Linear Regression in Python - Step 2-subtitle-en.srt

12.32 KB

023 Simple Linear Regression in Python - Step 2.mp4

18.75 MB

024 Simple Linear Regression in Python - Step 3-subtitle-en.srt

9.84 KB

024 Simple Linear Regression in Python - Step 3.mp4

15.61 MB

025 Simple Linear Regression in Python - Step 4-subtitle-en.srt

22.44 KB

025 Simple Linear Regression in Python - Step 4.mp4

30.82 MB

026 Simple Linear Regression in R - Step 1-subtitle-en.srt

7.71 KB

026 Simple Linear Regression in R - Step 1.mp4

9.53 MB

027 Simple Linear Regression in R - Step 2-subtitle-en.srt

8.89 KB

027 Simple Linear Regression in R - Step 2.mp4

14.35 MB

028 Simple Linear Regression in R - Step 3-subtitle-en.srt

5.52 KB

028 Simple Linear Regression in R - Step 3.mp4

8.63 MB

029 Simple Linear Regression in R - Step 4-subtitle-en.srt

23.94 KB

029 Simple Linear Regression in R - Step 4.mp4

37.37 MB

05 Multiple Linear Regression

030 How to get the dataset-subtitle-en.srt

4.93 KB

030 How to get the dataset.mp4

11.71 MB

031 Dataset + Business Problem Description-subtitle-en.srt

5.68 KB

031 Dataset + Business Problem Description.mp4

9.98 MB

032 Multiple Linear Regression Intuition - Step 1-subtitle-en.srt

1.58 KB

032 Multiple Linear Regression Intuition - Step 1.mp4

1.82 MB

033 Multiple Linear Regression Intuition - Step 2-subtitle-en.srt

1.45 KB

033 Multiple Linear Regression Intuition - Step 2.mp4

1.78 MB

034 Multiple Linear Regression Intuition - Step 3-subtitle-en.srt

10.70 KB

034 Multiple Linear Regression Intuition - Step 3.mp4

14.28 MB

035 Multiple Linear Regression Intuition - Step 4-subtitle-en.srt

3.51 KB

035 Multiple Linear Regression Intuition - Step 4.mp4

4.51 MB

036 Multiple Linear Regression Intuition - Step 5-subtitle-en.srt

23.56 KB

036 Multiple Linear Regression Intuition - Step 5.mp4

28.83 MB

037 Multiple Linear Regression in Python - Step 1-subtitle-en.srt

24.44 KB

037 Multiple Linear Regression in Python - Step 1.mp4

39.56 MB

038 Multiple Linear Regression in Python - Step 2-subtitle-en.srt

4.08 KB

038 Multiple Linear Regression in Python - Step 2.mp4

7.22 MB

039 Multiple Linear Regression in Python - Step 3-subtitle-en.srt

8.27 KB

039 Multiple Linear Regression in Python - Step 3.mp4

14.29 MB

040 Multiple Linear Regression in Python - Backward Elimination - Preparation-subtitle-en.srt

19.71 KB

040 Multiple Linear Regression in Python - Backward Elimination - Preparation.mp4

32.82 MB

041 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK !-subtitle-en.srt

19.68 KB

041 Multiple Linear Regression in Python - Backward Elimination - HOMEWORK !.mp4

32.59 MB

042 Multiple Linear Regression in Python - Backward Elimination - Homework Solution-subtitle-en.srt

14.17 KB

042 Multiple Linear Regression in Python - Backward Elimination - Homework Solution.mp4

27.17 MB

043 Multiple Linear Regression in R - Step 1-subtitle-en.srt

11.85 KB

043 Multiple Linear Regression in R - Step 1.mp4

17.94 MB

044 Multiple Linear Regression in R - Step 2-subtitle-en.srt

15.43 KB

044 Multiple Linear Regression in R - Step 2.mp4

25.93 MB

045 Multiple Linear Regression in R - Step 3-subtitle-en.srt

7.07 KB

045 Multiple Linear Regression in R - Step 3.mp4

10.41 MB

046 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !-subtitle-en.srt

27.48 KB

046 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4

39.73 MB

047 Multiple Linear Regression in R - Backward Elimination - Homework Solution-subtitle-en.srt

11.86 KB

047 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4

17.24 MB

06 Polynomial Regression

048 Polynomial Regression Intuition-subtitle-en.srt

7.82 KB

048 Polynomial Regression Intuition.mp4

9.44 MB

049 How to get the dataset-subtitle-en.srt

4.93 KB

049 How to get the dataset.mp4

11.71 MB

050 Polynomial Regression in Python - Step 1-subtitle-en.srt

17.50 KB

050 Polynomial Regression in Python - Step 1.mp4

24.89 MB

051 Polynomial Regression in Python - Step 2-subtitle-en.srt

17.22 KB

051 Polynomial Regression in Python - Step 2.mp4

27.10 MB

052 Polynomial Regression in Python - Step 3-subtitle-en.srt

31.40 KB

052 Polynomial Regression in Python - Step 3.mp4

42.98 MB

053 Polynomial Regression in Python - Step 4-subtitle-en.srt

8.65 KB

053 Polynomial Regression in Python - Step 4.mp4

13.50 MB

054 Python Regression Template-subtitle-en.srt

16.38 KB

054 Python Regression Template.mp4

27.43 MB

055 Polynomial Regression in R - Step 1-subtitle-en.srt

14.13 KB

055 Polynomial Regression in R - Step 1.mp4

17.78 MB

056 Polynomial Regression in R - Step 2-subtitle-en.srt

15.27 KB

056 Polynomial Regression in R - Step 2.mp4

23.87 MB

057 Polynomial Regression in R - Step 3-subtitle-en.srt

30.86 KB

057 Polynomial Regression in R - Step 3.mp4

43.31 MB

058 Polynomial Regression in R - Step 4-subtitle-en.srt

15.44 KB

058 Polynomial Regression in R - Step 4.mp4

22.34 MB

059 R Regression Template-subtitle-en.srt

18.63 KB

059 R Regression Template.mp4

25.41 MB

07 Support Vector Regression (SVR)

060 How to get the dataset-subtitle-en.srt

4.93 KB

060 How to get the dataset.mp4

11.71 MB

061 SVR in Python-subtitle-en.srt

30.89 KB

061 SVR in Python.mp4

46.18 MB

062 SVR in R-subtitle-en.srt

18.70 KB

062 SVR in R.mp4

25.87 MB

08 Decision Tree Regression

063 Decision Tree Regression Intuition-subtitle-en.srt

17.06 KB

063 Decision Tree Regression Intuition.mp4

22.69 MB

064 How to get the dataset-subtitle-en.srt

4.93 KB

064 How to get the dataset.mp4

11.71 MB

065 Decision Tree Regression in Python-subtitle-en.srt

23.73 KB

065 Decision Tree Regression in Python.mp4

33.54 MB

066 Decision Tree Regression in R-subtitle-en.srt

32.15 KB

066 Decision Tree Regression in R.mp4

44.37 MB

09 Random Forest Regression

067 Random Forest Regression Intuition-subtitle-en.srt

10.22 KB

067 Random Forest Regression Intuition.mp4

13.82 MB

068 How to get the dataset-subtitle-en.srt

4.93 KB

068 How to get the dataset.mp4

11.71 MB

069 Random Forest Regression in Python-subtitle-en.srt

27.53 KB

069 Random Forest Regression in Python.mp4

39.47 MB

070 Random Forest Regression in R-subtitle-en.srt

28.11 KB

070 Random Forest Regression in R.mp4

40.34 MB

10 Evaluating Regression Models Performance

071 R-Squared Intuition-subtitle-en.srt

7.17 KB

071 R-Squared Intuition.mp4

8.85 MB

072 Adjusted R-Squared Intuition-subtitle-en.srt

14.45 KB

072 Adjusted R-Squared Intuition.mp4

19.28 MB

073 Evaluating Regression Models Performance - Homework's Final Part-subtitle-en.srt

12.93 KB

073 Evaluating Regression Models Performance - Homework's Final Part.mp4

21.89 MB

074 Interpreting Linear Regression Coefficients-subtitle-en.srt

13.32 KB

074 Interpreting Linear Regression Coefficients.mp4

24.21 MB

075 Conclusion of Part 2 - Regression.html

4.33 KB

11 -------------------- Part 3_ Classification --------------------

076 Welcome to Part 3 - Classification.html

1.93 KB

12 Logistic Regression

077 Logistic Regression Intuition-subtitle-en.srt

24.84 KB

077 Logistic Regression Intuition.mp4

29.17 MB

078 How to get the dataset-subtitle-en.srt

4.93 KB

078 How to get the dataset.mp4

11.71 MB

079 Logistic Regression in Python - Step 1-subtitle-en.srt

8.76 KB

079 Logistic Regression in Python - Step 1.mp4

12.93 MB

080 Logistic Regression in Python - Step 2-subtitle-en.srt

4.92 KB

080 Logistic Regression in Python - Step 2.mp4

8.23 MB

081 Logistic Regression in Python - Step 3-subtitle-en.srt

4.10 KB

081 Logistic Regression in Python - Step 3.mp4

5.97 MB

082 Logistic Regression in Python - Step 4-subtitle-en.srt

7.16 KB

082 Logistic Regression in Python - Step 4.mp4

10.37 MB

083 Logistic Regression in Python - Step 5-subtitle-en.srt

29.70 KB

083 Logistic Regression in Python - Step 5.mp4

42.55 MB

084 Python Classification Template-subtitle-en.srt

6.07 KB

084 Python Classification Template.mp4

12.06 MB

085 Logistic Regression in R - Step 1-subtitle-en.srt

8.92 KB

085 Logistic Regression in R - Step 1.mp4

12.58 MB

086 Logistic Regression in R - Step 2-subtitle-en.srt

4.35 KB

086 Logistic Regression in R - Step 2.mp4

7.84 MB

087 Logistic Regression in R - Step 3-subtitle-en.srt

7.43 KB

087 Logistic Regression in R - Step 3.mp4

14.59 MB

088 Logistic Regression in R - Step 4-subtitle-en.srt

3.98 KB

088 Logistic Regression in R - Step 4.mp4

6.90 MB

089 Logistic Regression in R - Step 5-subtitle-en.srt

29.10 KB

089 Logistic Regression in R - Step 5.mp4

51.68 MB

090 R Classification Template-subtitle-en.srt

6.70 KB

090 R Classification Template.mp4

12.47 MB

13 K-Nearest Neighbors (K-NN)

091 K-Nearest Neighbor Intuition-subtitle-en.srt

8.04 KB

091 K-Nearest Neighbor Intuition.mp4

9.27 MB

092 How to get the dataset-subtitle-en.srt

4.93 KB

092 How to get the dataset.mp4

11.71 MB

093 K-NN in Python-subtitle-en.srt

21.24 KB

093 K-NN in Python.mp4

35.21 MB

094 K-NN in R-subtitle-en.srt

23.37 KB

094 K-NN in R.mp4

41.37 MB

14 Support Vector Machine (SVM)

095 SVM Intuition-subtitle-en.srt

15.72 KB

095 SVM Intuition.mp4

18.01 MB

096 How to get the dataset-subtitle-en.srt

4.93 KB

096 How to get the dataset.mp4

11.71 MB

097 SVM in Python-subtitle-en.srt

19.16 KB

097 SVM in Python.mp4

31.16 MB

098 SVM in R-subtitle-en.srt

18.40 KB

098 SVM in R.mp4

32.26 MB

098 SVM.zip

8.27 KB

15 Kernel SVM

099 Kernel SVM Intuition-subtitle-en.srt

4.56 KB

099 Kernel SVM Intuition.mp4

5.79 MB

100 Mapping to a higher dimension-subtitle-en.srt

10.93 KB

100 Mapping to a higher dimension.mp4

13.74 MB

101 The Kernel Trick-subtitle-en.srt

17.15 KB

101 The Kernel Trick.mp4

29.28 MB

102 Types of Kernel Functions-subtitle-en.srt

5.12 KB

102 Types of Kernel Functions.mp4

12.30 MB

103 How to get the dataset-subtitle-en.srt

4.93 KB

103 How to get the dataset.mp4

11.71 MB

104 Kernel SVM in Python-subtitle-en.srt

28.25 KB

104 Kernel SVM in Python.mp4

41.62 MB

105 Kernel SVM in R-subtitle-en.srt

25.45 KB

105 Kernel SVM in R.mp4

40.45 MB

16 Naive Bayes

106 Bayes Theorem-subtitle-en.srt

34.45 KB

106 Bayes Theorem.mp4

43.90 MB

107 Naive Bayes Intuition-subtitle-en.srt

23.34 KB

107 Naive Bayes Intuition.mp4

27.79 MB

108 Naive Bayes Intuition (Challenge Reveal)-subtitle-en.srt

9.50 KB

108 Naive Bayes Intuition (Challenge Reveal).mp4

13.27 MB

109 Naive Bayes Intuition (Extras)-subtitle-en.srt

15.93 KB

109 Naive Bayes Intuition (Extras).mp4

18.94 MB

110 How to get the dataset-subtitle-en.srt

4.93 KB

110 How to get the dataset.mp4

11.71 MB

111 Naive Bayes in Python-subtitle-en.srt

13.75 KB

111 Naive Bayes in Python.mp4

23.38 MB

112 Naive Bayes in R-subtitle-en.srt

21.90 KB

112 Naive Bayes in R.mp4

37.31 MB

17 Decision Tree Classification

113 Decision Tree Classification Intuition-subtitle-en.srt

12.88 KB

113 Decision Tree Classification Intuition.mp4

18.79 MB

114 How to get the dataset-subtitle-en.srt

4.93 KB

114 How to get the dataset.mp4

11.71 MB

115 Decision Tree Classification in Python-subtitle-en.srt

19.43 KB

115 Decision Tree Classification in Python.mp4

29.80 MB

116 Decision Tree Classification in R-subtitle-en.srt

29.14 KB

116 Decision Tree Classification in R.mp4

51.18 MB

18 Random Forest Classification

117 Random Forest Classification Intuition-subtitle-en.srt

7.06 KB

117 Random Forest Classification Intuition.mp4

19.43 MB

118 How to get the dataset-subtitle-en.srt

4.93 KB

118 How to get the dataset.mp4

11.71 MB

119 Random Forest Classification in Python-subtitle-en.srt

30.74 KB

119 Random Forest Classification in Python.mp4

47.15 MB

120 Random Forest Classification in R-subtitle-en.srt

32.41 KB

120 Random Forest Classification in R.mp4

49.39 MB

19 Evaluating Classification Models Performance

121 False Positives & False Negatives-subtitle-en.srt

11.29 KB

121 False Positives & False Negatives.mp4

13.65 MB

122 Confusion Matrix-subtitle-en.srt

7.51 KB

122 Confusion Matrix.mp4

8.21 MB

123 Accuracy Paradox-subtitle-en.srt

3.24 KB

123 Accuracy Paradox.mp4

3.80 MB

124 CAP Curve-subtitle-en.srt

16.19 KB

124 CAP Curve.mp4

18.68 MB

125 CAP Curve Analysis-subtitle-en.srt

9.24 KB

125 CAP Curve Analysis.mp4

11.51 MB

126 Conclusion of Part 3 - Classification.html

4.78 KB

20 -------------------- Part 4_ Clustering --------------------

127 Welcome to Part 4 - Clustering.html

1.81 KB

21 K-Means Clustering

128 K-Means Clustering Intuition-subtitle-en.srt

23.35 KB

128 K-Means Clustering Intuition.mp4

26.86 MB

129 K-Means Random Initialization Trap-subtitle-en.srt

12.96 KB

129 K-Means Random Initialization Trap.mp4

15.36 MB

130 K-Means Selecting The Number Of Clusters-subtitle-en.srt

18.46 KB

130 K-Means Selecting The Number Of Clusters.mp4

23.13 MB

131 How to get the dataset-subtitle-en.srt

4.93 KB

131 How to get the dataset.mp4

11.71 MB

132 K-Means Clustering in Python-subtitle-en.srt

28.23 KB

132 K-Means Clustering in Python.mp4

39.77 MB

133 K-Means Clustering in R-subtitle-en.srt

19.45 KB

133 K-Means Clustering in R.mp4

28.99 MB

22 Hierarchical Clustering

134 Hierarchical Clustering Intuition-subtitle-en.srt

14.59 KB

134 Hierarchical Clustering Intuition.mp4

16.52 MB

135 Hierarchical Clustering How Dendrograms Work-subtitle-en.srt

14.36 KB

135 Hierarchical Clustering How Dendrograms Work.mp4

17.46 MB

136 Hierarchical Clustering Using Dendrograms-subtitle-en.srt

17.60 KB

136 Hierarchical Clustering Using Dendrograms.mp4

22.81 MB

137 How to get the dataset-subtitle-en.srt

4.93 KB

137 How to get the dataset.mp4

11.71 MB

138 HC in Python - Step 1-subtitle-en.srt

7.59 KB

138 HC in Python - Step 1.mp4

10.72 MB

139 HC in Python - Step 2-subtitle-en.srt

9.51 KB

139 HC in Python - Step 2.mp4

12.64 MB

140 HC in Python - Step 3-subtitle-en.srt

7.72 KB

140 HC in Python - Step 3.mp4

12.30 MB

141 HC in Python - Step 4-subtitle-en.srt

6.47 KB

141 HC in Python - Step 4.mp4

12.02 MB

142 HC in Python - Step 5-subtitle-en.srt

6.79 KB

142 HC in Python - Step 5.mp4

8.39 MB

143 HC in R - Step 1-subtitle-en.srt

6.35 KB

143 HC in R - Step 1.mp4

7.38 MB

144 HC in R - Step 2-subtitle-en.srt

8.14 KB

144 HC in R - Step 2.mp4

11.15 MB

145 HC in R - Step 3-subtitle-en.srt

4.73 KB

145 HC in R - Step 3.mp4

7.80 MB

146 HC in R - Step 4-subtitle-en.srt

3.84 KB

146 HC in R - Step 4.mp4

7.44 MB

147 HC in R - Step 5-subtitle-en.srt

4.03 KB

147 HC in R - Step 5.mp4

6.88 MB

148 Conclusion of Part 4 - Clustering.html

1.61 KB

23 -------------------- Part 5_ Association Rule Learning --------------------

149 Welcome to Part 5 - Association Rule Learning.html

1.55 KB

24 Apriori

150 Apriori Intuition-subtitle-en.srt

26.89 KB

150 Apriori Intuition.mp4

35.02 MB

151 How to get the dataset-subtitle-en.srt

4.93 KB

151 How to get the dataset.mp4

11.71 MB

152 Apriori in R - Step 1-subtitle-en.srt

31.05 KB

152 Apriori in R - Step 1.mp4

42.87 MB

153 Apriori in R - Step 2-subtitle-en.srt

23.03 KB

153 Apriori in R - Step 2.mp4

30.50 MB

154 Apriori in R - Step 3-subtitle-en.srt

31.16 KB

154 Apriori in R - Step 3.mp4

43.84 MB

155 Apriori in Python - Step 1-subtitle-en.srt

27.96 KB

155 Apriori in Python - Step 1.mp4

37.97 MB

156 Apriori in Python - Step 2-subtitle-en.srt

22.53 KB

156 Apriori in Python - Step 2.mp4

29.52 MB

157 Apriori in Python - Step 3-subtitle-en.srt

19.60 KB

157 Apriori in Python - Step 3.mp4

26.96 MB

25 Eclat

158 Eclat Intuition-subtitle-en.srt

8.41 KB

158 Eclat Intuition.mp4

10.65 MB

159 How to get the dataset-subtitle-en.srt

4.93 KB

159 How to get the dataset.mp4

11.71 MB

160 Eclat in R-subtitle-en.srt

15.79 KB

160 Eclat in R.mp4

20.68 MB

160 Eclat.zip

48.54 KB

26 -------------------- Part 6_ Reinforcement Learning --------------------

161 Welcome to Part 6 - Reinforcement Learning.html

1.91 KB

27 Upper Confidence Bound (UCB)

162 The Multi-Armed Bandit Problem-subtitle-en.srt

23.12 KB

162 The Multi-Armed Bandit Problem.mp4

30.19 MB

163 Upper Confidence Bound (UCB) Intuition-subtitle-en.srt

22.77 KB

163 Upper Confidence Bound (UCB) Intuition.mp4

29.32 MB

164 How to get the dataset-subtitle-en.srt

4.93 KB

164 How to get the dataset.mp4

11.71 MB

165 Upper Confidence Bound in Python - Step 1-subtitle-en.srt

22.70 KB

165 Upper Confidence Bound in Python - Step 1.mp4

31.53 MB

166 Upper Confidence Bound in Python - Step 2-subtitle-en.srt

26.28 KB

166 Upper Confidence Bound in Python - Step 2.mp4

35.44 MB

167 Upper Confidence Bound in Python - Step 3-subtitle-en.srt

28.00 KB

167 Upper Confidence Bound in Python - Step 3.mp4

41.11 MB

168 Upper Confidence Bound in Python - Step 4-subtitle-en.srt

5.18 KB

168 Upper Confidence Bound in Python - Step 4.mp4

9.13 MB

169 Upper Confidence Bound in R - Step 1-subtitle-en.srt

21.33 KB

169 Upper Confidence Bound in R - Step 1.mp4

28.05 MB

170 Upper Confidence Bound in R - Step 2-subtitle-en.srt

23.06 KB

170 Upper Confidence Bound in R - Step 2.mp4

29.01 MB

171 Upper Confidence Bound in R - Step 3-subtitle-en.srt

26.31 KB

171 Upper Confidence Bound in R - Step 3.mp4

47.20 MB

172 Upper Confidence Bound in R - Step 4-subtitle-en.srt

4.59 KB

172 Upper Confidence Bound in R - Step 4.mp4

7.40 MB

28 Thompson Sampling

173 Thompson Sampling Intuition-subtitle-en.srt

28.54 KB

173 Thompson Sampling Intuition.mp4

37.27 MB

174 Algorithm Comparison_ UCB vs Thompson Sampling-subtitle-en.srt

11.53 KB

174 Algorithm Comparison_ UCB vs Thompson Sampling.mp4

14.08 MB

175 How to get the dataset-subtitle-en.srt

4.93 KB

175 How to get the dataset.mp4

11.71 MB

176 Thompson Sampling in Python - Step 1-subtitle-en.srt

29.97 KB

176 Thompson Sampling in Python - Step 1.mp4

43.13 MB

177 Thompson Sampling in Python - Step 2-subtitle-en.srt

5.80 KB

177 Thompson Sampling in Python - Step 2.mp4

8.41 MB

178 Thompson Sampling in R - Step 1-subtitle-en.srt

28.90 KB

178 Thompson Sampling in R - Step 1.mp4

40.93 MB

179 Thompson Sampling in R - Step 2-subtitle-en.srt

5.29 KB

179 Thompson Sampling in R - Step 2.mp4

7.46 MB

29 -------------------- Part 7_ Natural Language Processing --------------------

180 Welcome to Part 7 - Natural Language Processing.html

2.80 KB

181 How to get the dataset-subtitle-en.srt

4.93 KB

181 How to get the dataset.mp4

11.71 MB

182 Natural Language Processing in Python - Step 1-subtitle-en.srt

19.04 KB

182 Natural Language Processing in Python - Step 1.mp4

35.20 MB

183 Natural Language Processing in Python - Step 2-subtitle-en.srt

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183 Natural Language Processing in Python - Step 2.mp4

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184 Natural Language Processing in Python - Step 3-subtitle-en.srt

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184 Natural Language Processing in Python - Step 3.mp4

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185 Natural Language Processing in Python - Step 4-subtitle-en.srt

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185 Natural Language Processing in Python - Step 4.mp4

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186 Natural Language Processing in Python - Step 5.mp4

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187 Natural Language Processing in Python - Step 6-subtitle-en.srt

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188 Natural Language Processing in Python - Step 7-subtitle-en.srt

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188 Natural Language Processing in Python - Step 7.mp4

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189 Natural Language Processing in Python - Step 8-subtitle-en.srt

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189 Natural Language Processing in Python - Step 8.mp4

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190 Natural Language Processing in Python - Step 9-subtitle-en.srt

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190 Natural Language Processing in Python - Step 9.mp4

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191 Natural Language Processing in Python - Step 10-subtitle-en.srt

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191 Natural Language Processing in Python - Step 10.mp4

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192 Homework Challenge.html

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193 Natural Language Processing in R - Step 1-subtitle-en.srt

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193 Natural Language Processing in R - Step 1.mp4

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194 Natural Language Processing in R - Step 2-subtitle-en.srt

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194 Natural Language Processing in R - Step 2.mp4

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195 Natural Language Processing in R - Step 3-subtitle-en.srt

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195 Natural Language Processing in R - Step 3.mp4

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196 Natural Language Processing in R - Step 4-subtitle-en.srt

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196 Natural Language Processing in R - Step 4.mp4

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197 Natural Language Processing in R - Step 5-subtitle-en.srt

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197 Natural Language Processing in R - Step 5.mp4

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198 Natural Language Processing in R - Step 6-subtitle-en.srt

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198 Natural Language Processing in R - Step 6.mp4

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199 Natural Language Processing in R - Step 7-subtitle-en.srt

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199 Natural Language Processing in R - Step 7.mp4

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200 Natural Language Processing in R - Step 8-subtitle-en.srt

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200 Natural Language Processing in R - Step 8.mp4

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201 Natural Language Processing in R - Step 9-subtitle-en.srt

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201 Natural Language Processing in R - Step 9.mp4

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202 Natural Language Processing in R - Step 10-subtitle-en.srt

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202 Natural Language Processing in R - Step 10.mp4

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203 Homework Challenge.html

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30 -------------------- Part 8_ Deep Learning --------------------

204 Welcome to Part 8 - Deep Learning.html

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205 What is Deep Learning_-subtitle-en.srt

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205 What is Deep Learning_.mp4

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31 Artificial Neural Networks

206 Plan of attack-subtitle-en.srt

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206 Plan of attack.mp4

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207 The Neuron-subtitle-en.srt

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207 The Neuron.mp4

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208 The Activation Function-subtitle-en.srt

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208 The Activation Function.mp4

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209 How do Neural Networks work_-subtitle-en.srt

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209 How do Neural Networks work_.mp4

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210 How do Neural Networks learn_-subtitle-en.srt

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210 How do Neural Networks learn_.mp4

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211 Gradient Descent-subtitle-en.srt

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211 Gradient Descent.mp4

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212 Stochastic Gradient Descent-subtitle-en.srt

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212 Stochastic Gradient Descent.mp4

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213 Backpropagation-subtitle-en.srt

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213 Backpropagation.mp4

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214 How to get the dataset-subtitle-en.srt

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214 How to get the dataset.mp4

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215 Business Problem Description-subtitle-en.srt

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215 Business Problem Description.mp4

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216 ANN in Python - Step 1 - Installing Theano_ Tensorflow and Keras-subtitle-en.srt

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216 ANN in Python - Step 1 - Installing Theano_ Tensorflow and Keras.mp4

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217 ANN in Python - Step 2-subtitle-en.srt

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217 ANN in Python - Step 2.mp4

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218 ANN in Python - Step 3-subtitle-en.srt

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218 ANN in Python - Step 3.mp4

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219 ANN in Python - Step 4-subtitle-en.srt

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219 ANN in Python - Step 4.mp4

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220 ANN in Python - Step 5-subtitle-en.srt

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220 ANN in Python - Step 5.mp4

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221 ANN in Python - Step 6-subtitle-en.srt

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221 ANN in Python - Step 6.mp4

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222 ANN in Python - Step 7-subtitle-en.srt

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222 ANN in Python - Step 7.mp4

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223 ANN in Python - Step 8-subtitle-en.srt

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223 ANN in Python - Step 8.mp4

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224 ANN in Python - Step 9-subtitle-en.srt

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224 ANN in Python - Step 9.mp4

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225 ANN in Python - Step 10-subtitle-en.srt

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225 ANN in Python - Step 10.mp4

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226 ANN in R - Step 1-subtitle-en.srt

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226 ANN in R - Step 1.mp4

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227 ANN in R - Step 2-subtitle-en.srt

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227 ANN in R - Step 2.mp4

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228 ANN in R - Step 3-subtitle-en.srt

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228 ANN in R - Step 3.mp4

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229 ANN in R - Step 4 (Last step)-subtitle-en.srt

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229 ANN in R - Step 4 (Last step).mp4

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32 Convolutional Neural Networks

230 Plan of attack-subtitle-en.srt

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230 Plan of attack.mp4

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231 What are convolutional neural networks_-subtitle-en.srt

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231 What are convolutional neural networks_.mp4

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232 Step 1 - Convolution Operation-subtitle-en.srt

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232 Step 1 - Convolution Operation.mp4

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233 Step 1(b) - ReLU Layer-subtitle-en.srt

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233 Step 1(b) - ReLU Layer.mp4

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234 Step 2 - Pooling-subtitle-en.srt

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234 Step 2 - Pooling.mp4

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235 Step 3 - Flattening-subtitle-en.srt

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235 Step 3 - Flattening.mp4

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236 Step 4 - Full Connection-subtitle-en.srt

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236 Step 4 - Full Connection.mp4

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237 Summary-subtitle-en.srt

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237 Summary.mp4

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238 Softmax & Cross-Entropy-subtitle-en.srt

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238 Softmax & Cross-Entropy.mp4

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239 How to get the dataset-subtitle-en.srt

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239 How to get the dataset.mp4

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240 CNN in Python - Step 1-subtitle-en.srt

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240 CNN in Python - Step 1.mp4

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241 CNN in Python - Step 2-subtitle-en.srt

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241 CNN in Python - Step 2.mp4

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242 CNN in Python - Step 3-subtitle-en.srt

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242 CNN in Python - Step 3.mp4

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243 CNN in Python - Step 4-subtitle-en.srt

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243 CNN in Python - Step 4.mp4

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244 CNN in Python - Step 5-subtitle-en.srt

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244 CNN in Python - Step 5.mp4

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245 CNN in Python - Step 6-subtitle-en.srt

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245 CNN in Python - Step 6.mp4

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246 CNN in Python - Step 7-subtitle-en.srt

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246 CNN in Python - Step 7.mp4

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247 CNN in Python - Step 8-subtitle-en.srt

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247 CNN in Python - Step 8.mp4

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248 CNN in Python - Step 9-subtitle-en.srt

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248 CNN in Python - Step 9.mp4

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249 CNN in Python - Step 10-subtitle-en.srt

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249 CNN in Python - Step 10.mp4

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250 CNN in R.html

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33 -------------------- Part 9_ Dimensionality Reduction --------------------

251 Welcome to Part 9 - Dimensionality Reduction.html

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34 Principal Component Analysis (PCA)

252 How to get the dataset-subtitle-en.srt

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252 How to get the dataset.mp4

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253 PCA in Python - Step 1-subtitle-en.srt

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253 PCA in Python - Step 1.mp4

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254 PCA in Python - Step 2-subtitle-en.srt

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254 PCA in Python - Step 2.mp4

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255 PCA in Python - Step 3-subtitle-en.srt

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255 PCA in Python - Step 3.mp4

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256 PCA in R - Step 1-subtitle-en.srt

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256 PCA in R - Step 1.mp4

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257 PCA in R - Step 2-subtitle-en.srt

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257 PCA in R - Step 2.mp4

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258 PCA in R - Step 3-subtitle-en.srt

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258 PCA in R - Step 3.mp4

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35 Linear Discriminant Analysis (LDA)

259 How to get the dataset-subtitle-en.srt

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259 How to get the dataset.mp4

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260 LDA in Python-subtitle-en.srt

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260 LDA in Python.mp4

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261 LDA in R-subtitle-en.srt

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261 LDA in R.mp4

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36 Kernel PCA

262 How to get the dataset-subtitle-en.srt

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262 How to get the dataset.mp4

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263 Kernel PCA in Python-subtitle-en.srt

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263 Kernel PCA in Python.mp4

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264 Kernel PCA in R-subtitle-en.srt

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264 Kernel PCA in R.mp4

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37 -------------------- Part 10_ Model Selection & Boosting --------------------

265 Welcome to Part 10 - Model Selection & Boosting.html

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38 Model Selection

266 How to get the dataset-subtitle-en.srt

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266 How to get the dataset.mp4

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267 k-Fold Cross Validation in Python-subtitle-en.srt

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267 k-Fold Cross Validation in Python.mp4

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268 k-Fold Cross Validation in R-subtitle-en.srt

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268 k-Fold Cross Validation in R.mp4

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269 Grid Search in Python - Step 1-subtitle-en.srt

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269 Grid Search in Python - Step 1.mp4

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270 Grid Search in Python - Step 2-subtitle-en.srt

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270 Grid Search in Python - Step 2.mp4

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271 Grid Search in R-subtitle-en.srt

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271 Grid Search in R.mp4

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39 XGBoost

272 How to get the dataset-subtitle-en.srt

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272 How to get the dataset.mp4

11.71 MB

273 XGBoost in Python - Step 1-subtitle-en.srt

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273 XGBoost in Python - Step 1.mp4

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274 XGBoost in Python - Step 2-subtitle-en.srt

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274 XGBoost in Python - Step 2.mp4

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275 XGBoost in R-subtitle-en.srt

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275 XGBoost in R.mp4

47.26 MB

40 Bonus Lectures

276 ___YOUR SPECIAL BONUS___.html

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[FreeCourseSite.com].txt

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[FreeCourseSite.com].url

0.12 KB

[HaxTech.me].txt

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[HaxTech.me].url

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