Other
[06-2020] complete-machine-learning-and-data-science-zero-to-mastery
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Torrent Files List
16 Career Advice + Extra Bits (Size: 28.56 GB) (Files: 827)
16 Career Advice + Extra Bits
261 CWD_ Git + Github.mp4
253 Endorsements On LinkedIn.html
254 Quick Note_ Upcoming Video.html
255 What If I Don't Have Enough Experience_.en_US.srt
255 What If I Don't Have Enough Experience_.mp4
256 Learning Guideline.html
257 Quick Note_ Upcoming Videos.html
258 JTS_ Learn to Learn.en_US.srt
258 JTS_ Learn to Learn.mp4
259 JTS_ Start With Why.en_US.srt
259 JTS_ Start With Why.mp4
260 Quick Note_ Upcoming Videos.html
261 CWD_ Git + Github.en_US.srt
262 CWD_ Git + Github 2.en_US.srt
262 CWD_ Git + Github 2.mp4
263 Contributing To Open Source.en_US.srt
263 Contributing To Open Source.mp4
264 Contributing To Open Source 2.en_US.srt
264 Contributing To Open Source 2.mp4
265 Coding Challenges.html
266 Exercise_ Contribute To Open Source.html
01 Introduction
001 Course Outline.mp4
002 Join Our Online Classroom!.html
003 Exercise_ Meet The Community.html
004 Your First Day.en_US.srt
004 Your First Day.mp4
001 Course Outline.en_US.srt
02 Machine Learning 101
005 What Is Machine Learning_.en_US.srt
005 What Is Machine Learning_.mp4
006 AI_Machine Learning_Data Science.en_US.srt
006 AI_Machine Learning_Data Science.mp4
007 Exercise_ Machine Learning Playground.en_US.srt
007 Exercise_ Machine Learning Playground.mp4
007 Teachable-Machine.txt
008 How Did We Get Here_.en_US.srt
008 How Did We Get Here_.mp4
009 Exercise_ YouTube Recommendation Engine.en_US.srt
009 Exercise_ YouTube Recommendation Engine.mp4
009 Machine-Learning-Playground.txt
010 Types of Machine Learning.en_US.srt
010 Types of Machine Learning.mp4
011 Are You Getting It Yet_.html
012 What Is Machine Learning_ Round 2.en_US.srt
012 What Is Machine Learning_ Round 2.mp4
013 Section Review.en_US.srt
013 Section Review.mp4
03 Machine Learning and Data Science Framework
014 Section Overview.en_US.srt
014 Section Overview.mp4
015 Introducing Our Framework.en_US.srt
015 Introducing Our Framework.mp4
016 6 Step Machine Learning Framework.en_US.srt
016 6 Step Machine Learning Framework.mp4
016 A-6-Step-Field-Guide-for-Machine-Learning-Modelling-blog-post-.txt
017 Types of Machine Learning Problems.en_US.srt
017 Types of Machine Learning Problems.mp4
018 Types of Data.en_US.srt
018 Types of Data.mp4
019 Types of Evaluation.en_US.srt
019 Types of Evaluation.mp4
020 Features In Data.en_US.srt
020 Features In Data.mp4
021 Modelling - Splitting Data.en_US.srt
021 Modelling - Splitting Data.mp4
022 Modelling - Picking the Model.en_US.srt
022 Modelling - Picking the Model.mp4
023 Modelling - Tuning.en_US.srt
023 Modelling - Tuning.mp4
024 Modelling - Comparison.en_US.srt
024 Modelling - Comparison.mp4
025 Overfitting and Underfitting Definitions.html
026 Experimentation.en_US.srt
026 Experimentation.mp4
027 Tools We Will Use.en_US.srt
027 Tools We Will Use.mp4
028 Optional_ Elements of AI.html
04 The 2 Paths
029 The 2 Paths.en_US.srt
029 The 2 Paths.mp4
030 Python + Machine Learning Monthly.html
05 Data Science Environment Setup
031 Section Overview.en_US.srt
031 Section Overview.mp4
032 Introducing Our Tools.en_US.srt
032 Introducing Our Tools.mp4
033 conda-cheatsheet.pdf
033 Conda-documentation.txt
033 Getting-started-with-Conda-documentation-.txt
033 Getting-your-computer-ready-for-machine-learning-How-what-and-why-you-should-use-Anaconda-Miniconda-and-Conda-blog-post-.txt
033 What is Conda_.en_US.srt
033 What is Conda_.mp4
034 Conda Environments.en_US.srt
034 Conda Environments.mp4
035 Mac Environment Setup.en_US.srt
035 Mac Environment Setup.mp4
035 Miniconda-download-documentation.txt
036 Mac Environment Setup 2.en_US.srt
036 Mac Environment Setup 2.mp4
037 Miniconda-download-documentation.txt
037 Windows Environment Setup.en_US.srt
037 Windows Environment Setup.mp4
038 Windows Environment Setup 2.en_US.srt
038 Windows Environment Setup 2.mp4
039 Linux Environment Setup.html
040 Conda-documentation-on-sharing-an-environment.txt
040 Sharing your Conda Environment.html
041 6-step-ml-framework.png
041 Dataquest-Jupyter-Notebook-for-Beginners-Tutorial.txt
041 heart-disease.csv
041 Jupyter Notebook Walkthrough.en_US.srt
041 Jupyter Notebook Walkthrough.mp4
041 Jupyter-Notebook-documentation.txt
042 Jupyter Notebook Walkthrough 2.en_US.srt
042 Jupyter Notebook Walkthrough 2.mp4
043 Jupyter Notebook Walkthrough 3.en_US.srt
043 Jupyter Notebook Walkthrough 3.mp4
06 Pandas_ Data Analysis
044 Section Overview.en_US.srt
044 Section Overview.mp4
045 Downloading Workbooks and Assignments.html
046 10-minutes-to-pandas-from-the-pandas-documentation-.txt
046 Introduction-to-Pandas-Jupyter-Notebook-from-the-upcoming-videos-.txt
046 Introduction-to-Pandas-Jupyter-Notebook-with-annotations-.txt
046 Pandas Introduction.en_US.srt
046 Pandas Introduction.mp4
046 Pandas-Documentation.txt
047 pandas-anatomy-of-a-dataframe.png
047 Series, Data Frames and CSVs.en_US.srt
047 Series, Data Frames and CSVs.mp4
048 Data from URLs.html
049 Describing Data with Pandas.en_US.srt
049 Describing Data with Pandas.mp4
050 car-sales.csv
050 Selecting and Viewing Data with Pandas.en_US.srt
050 Selecting and Viewing Data with Pandas.mp4
051 Selecting and Viewing Data with Pandas Part 2.en_US.srt
051 Selecting and Viewing Data with Pandas Part 2.mp4
052 car-sales-missing-data.csv
052 Jake-VanderPlass-Data-Manipulation-with-Pandas.txt
052 Manipulating Data.en_US.srt
052 Manipulating Data.mp4
053 Manipulating Data 2.en_US.srt
053 Manipulating Data 2.mp4
053 pandas-anatomy-of-a-dataframe.png
054 Introduction-to-Pandas-Jupyter-Notebook-from-the-videos-.txt
054 Introduction-to-Pandas-Jupyter-Notebook-with-annotations-.txt
054 Manipulating Data 3.en_US.srt
054 Manipulating Data 3.mp4
055 Assignment_ Pandas Practice.html
056 Course-notebooks-Github.txt
056 Google-Colab.txt
056 How To Download The Course Assignments.en_US.srt
056 How To Download The Course Assignments.mp4
07 NumPy
057 Section Overview.en_US.srt
057 Section Overview.mp4
058 Introduction-to-NumPy-Jupyter-Notebook-from-the-upcoming-videos-.txt
058 Introduction-to-NumPy-Jupyter-Notebook-with-annotations-.txt
058 NumPy Introduction.en_US.srt
058 NumPy Introduction.mp4
058 NumPy-Documentation.txt
059 Quick Note_ Correction In Next Video.html
060 NumPy DataTypes and Attributes.en_US.srt
060 NumPy DataTypes and Attributes.mp4
061 Creating NumPy Arrays.en_US.srt
061 Creating NumPy Arrays.mp4
062 NumPy Random Seed.en_US.srt
062 NumPy Random Seed.mp4
063 Viewing Arrays and Matrices.en_US.srt
063 Viewing Arrays and Matrices.mp4
064 Manipulating Arrays.en_US.srt
064 Manipulating Arrays.mp4
064 Standard-deviation-and-variance-explained.txt
065 Manipulating Arrays 2.en_US.srt
065 Manipulating Arrays 2.mp4
065 Standard-deviation-and-variance-explained.txt
066 Standard Deviation and Variance.en_US.srt
066 Standard Deviation and Variance.mp4
066 Standard-deviation-and-variance-explained.txt
067 Reshape and Transpose.en_US.srt
067 Reshape and Transpose.mp4
068 Dot Product vs Element Wise.en_US.srt
068 Dot Product vs Element Wise.mp4
068 Matrix-Multiplication-Explained.txt
069 Exercise_ Nut Butter Store Sales.en_US.srt
069 Exercise_ Nut Butter Store Sales.mp4
070 Comparison Operators.en_US.srt
070 Comparison Operators.mp4
071 Sorting Arrays.en_US.srt
071 Sorting Arrays.mp4
072 Introduction-to-NumPy-Jupyter-Notebook-from-the-videos-.txt
072 Introduction-to-NumPy-Jupyter-Notebook-with-annotations-.txt
072 numpy-images.zip
072 Turn Images Into NumPy Arrays.en_US.srt
072 Turn Images Into NumPy Arrays.mp4
073 Assignment_ NumPy Practice.html
074 Optional_ Extra NumPy resources.html
08 Matplotlib_ Plotting and Data Visualization
075 Section Overview.en_US.srt
075 Section Overview.mp4
076 Introduction-to-Matplotlib-Jupyter-Notebook-from-the-upcoming-videos-.txt
076 Matplotlib Introduction.en_US.srt
076 Matplotlib Introduction.mp4
076 Matplotlib-Documentation.txt
077 Importing And Using Matplotlib.en_US.srt
077 Importing And Using Matplotlib.mp4
078 Anatomy Of A Matplotlib Figure.en_US.srt
078 Anatomy Of A Matplotlib Figure.mp4
078 matplotlib-anatomy-of-a-plot-with-code.png
078 matplotlib-anatomy-of-a-plot.png
079 Scatter Plot And Bar Plot.en_US.srt
079 Scatter Plot And Bar Plot.mp4
080 Histograms And Subplots.en_US.srt
080 Histograms And Subplots.mp4
081 Subplots Option 2.en_US.srt
081 Subplots Option 2.mp4
082 Quick Tip_ Data Visualizations.en_US.srt
082 Quick Tip_ Data Visualizations.mp4
083 Plotting From Pandas DataFrames.en_US.srt
083 Plotting From Pandas DataFrames.mp4
084 Quick Note_ Regular Expressions.html
085 Plotting From Pandas DataFrames 2.en_US.srt
085 Plotting From Pandas DataFrames 2.mp4
086 Plotting from Pandas DataFrames 3.en_US.srt
086 Plotting from Pandas DataFrames 3.mp4
087 heart-disease.csv
087 Plotting from Pandas DataFrames 4.en_US.srt
087 Plotting from Pandas DataFrames 4.mp4
088 Plotting from Pandas DataFrames 5.en_US.srt
088 Plotting from Pandas DataFrames 5.mp4
089 Plotting from Pandas DataFrames 6.en_US.srt
089 Plotting from Pandas DataFrames 6.mp4
090 Plotting from Pandas DataFrames 7.en_US.srt
090 Plotting from Pandas DataFrames 7.mp4
091 Customizing Your Plots.en_US.srt
091 Customizing Your Plots.mp4
092 Customizing Your Plots 2.en_US.srt
092 Customizing Your Plots 2.mp4
093 Introduction-to-Matplotlib-Notebook-from-the-videos-.txt
093 Saving And Sharing Your Plots.en_US.srt
093 Saving And Sharing Your Plots.mp4
094 Assignment_ Matplotlib Practice.html
09 Scikit-learn_ Creating Machine Learning Models
095 Section Overview.en_US.srt
095 Section Overview.mp4
096 Introduction-to-Scikit-Learn-Jupyter-Notebook-from-the-upcoming-videos-.txt
096 Introduction-to-Scikit-Learn-Jupyter-Notebook-with-annotations-.txt
096 Scikit-learn Introduction.en_US.srt
096 Scikit-learn Introduction.mp4
096 Scikit-Learn-Documentation.txt
097 Quick Note_ Upcoming Video.html
098 Refresher_ What Is Machine Learning_.en_US.srt
098 Refresher_ What Is Machine Learning_.mp4
099 Quick Note_ Upcoming Videos.html
100 Scikit-learn Cheatsheet.en_US.srt
100 Scikit-learn Cheatsheet.mp4
100 Scikit-Learn-Reference-Notebook.txt
101 Example-Scikit-Learn-Workflow-Notebook.txt
101 Typical scikit-learn Workflow.en_US.srt
101 Typical scikit-learn Workflow.mp4
102 Optional_ Debugging Warnings In Jupyter.en_US.srt
102 Optional_ Debugging Warnings In Jupyter.mp4
103 Getting Your Data Ready_ Splitting Your Data.en_US.srt
103 Getting Your Data Ready_ Splitting Your Data.mp4
103 scikit-learn-data.zip
104 Quick Tip_ Clean, Transform, Reduce.en_US.srt
104 Quick Tip_ Clean, Transform, Reduce.mp4
105 Getting Your Data Ready_ Convert Data To Numbers.en_US.srt
105 Getting Your Data Ready_ Convert Data To Numbers.mp4
106 Getting Your Data Ready_ Handling Missing Values With Pandas.en_US.srt
106 Getting Your Data Ready_ Handling Missing Values With Pandas.mp4
107 Extension_ Feature Scaling.html
108 Note_ Correction in the upcoming video (splitting data).html
109 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.en_US.srt
109 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4
110 Choosing The Right Model For Your Data.en_US.srt
110 Choosing The Right Model For Your Data.mp4
110 Scikit-Learn-machine-learning-map-how-to-choose-the-right-machine-learning-model-.txt
111 Choosing The Right Model For Your Data 2 (Regression).en_US.srt
111 Choosing The Right Model For Your Data 2 (Regression).mp4
112 Quick Note_ Decision Trees.html
113 Quick Tip_ How ML Algorithms Work.en_US.srt
113 Quick Tip_ How ML Algorithms Work.mp4
114 Choosing The Right Model For Your Data 3 (Classification).en_US.srt
114 Choosing The Right Model For Your Data 3 (Classification).mp4
115 Fitting A Model To The Data.en_US.srt
115 Fitting A Model To The Data.mp4
116 Making Predictions With Our Model.en_US.srt
116 Making Predictions With Our Model.mp4
117 predict() vs predict_proba().en_US.srt
117 predict() vs predict_proba().mp4
118 Making Predictions With Our Model (Regression).en_US.srt
118 Making Predictions With Our Model (Regression).mp4
119 Evaluating A Machine Learning Model (Score).en_US.srt
119 Evaluating A Machine Learning Model (Score).mp4
120 Evaluating A Machine Learning Model 2 (Cross Validation).en_US.srt
120 Evaluating A Machine Learning Model 2 (Cross Validation).mp4
121 Evaluating A Classification Model 1 (Accuracy).en_US.srt
121 Evaluating A Classification Model 1 (Accuracy).mp4
122 Evaluating A Classification Model 2 (ROC Curve).en_US.srt
122 Evaluating A Classification Model 2 (ROC Curve).mp4
123 Evaluating A Classification Model 3 (ROC Curve).en_US.srt
123 Evaluating A Classification Model 3 (ROC Curve).mp4
124 Reading Extension_ ROC Curve + AUC.html
125 Evaluating A Classification Model 4 (Confusion Matrix).en_US.srt
125 Evaluating A Classification Model 4 (Confusion Matrix).mp4
126 Evaluating A Classification Model 5 (Confusion Matrix).en_US.srt
126 Evaluating A Classification Model 5 (Confusion Matrix).mp4
127 Evaluating A Classification Model 6 (Classification Report).en_US.srt
127 Evaluating A Classification Model 6 (Classification Report).mp4
128 Evaluating A Regression Model 1 (R2 Score).en_US.srt
128 Evaluating A Regression Model 1 (R2 Score).mp4
129 Evaluating A Regression Model 2 (MAE).en_US.srt
129 Evaluating A Regression Model 2 (MAE).mp4
130 Evaluating A Regression Model 3 (MSE).en_US.srt
130 Evaluating A Regression Model 3 (MSE).mp4
131 Machine Learning Model Evaluation.html
132 Evaluating A Model With Cross Validation and Scoring Parameter.en_US.srt
132 Evaluating A Model With Cross Validation and Scoring Parameter.mp4
133 Evaluating A Model With Scikit-learn Functions.en_US.srt
133 Evaluating A Model With Scikit-learn Functions.mp4
134 Improving A Machine Learning Model.en_US.srt
134 Improving A Machine Learning Model.mp4
135 Tuning Hyperparameters.en_US.srt
135 Tuning Hyperparameters.mp4
136 Tuning Hyperparameters 2.en_US.srt
136 Tuning Hyperparameters 2.mp4
137 Tuning Hyperparameters 3.en_US.srt
137 Tuning Hyperparameters 3.mp4
138 Note_ Metric Comparison Improvement.html
139 Quick Tip_ Correlation Analysis.en_US.srt
139 Quick Tip_ Correlation Analysis.mp4
140 Saving And Loading A Model.en_US.srt
140 Saving And Loading A Model.mp4
141 Saving And Loading A Model 2.en_US.srt
141 Saving And Loading A Model 2.mp4
142 Putting It All Together.en_US.srt
142 Putting It All Together.mp4
142 Read-Corrected-splitting-data-notebook.txt
143 Introduction-to-Scikit-Learn-Jupyter-Notebook-from-the-videos-.txt
143 Introduction-to-Scikit-Learn-Jupyter-Notebook-with-annotations-.txt
143 Putting It All Together 2.en_US.srt
143 Putting It All Together 2.mp4
144 Scikit-Learn Practice.html
10 Supervised Learning_ Classification + Regression
145 Milestone Projects!.html
11 Milestone Project 1_ Supervised Learning (Classification)
146 Section Overview.en_US.srt
146 Section Overview.mp4
147 End-to-end-Heart-Disease-Classification-Notebook-same-as-in-videos-.txt
147 End-to-end-Heart-Disease-Classification-Notebook-with-annotations-.txt
147 Project Overview.en_US.srt
147 Project Overview.mp4
147 Structured-Data-Projects-on-GitHub.txt
148 Project Environment Setup.en_US.srt
148 Project Environment Setup.mp4
149 Step 1~4 Framework Setup.en_US.srt
149 Step 1~4 Framework Setup.mp4
150 Getting Our Tools Ready.en_US.srt
150 Getting Our Tools Ready.mp4
151 Exploring Our Data.en_US.srt
151 Exploring Our Data.mp4
151 heart-disease.csv
152 Finding Patterns.en_US.srt
152 Finding Patterns.mp4
153 Finding Patterns 2.en_US.srt
153 Finding Patterns 2.mp4
154 Finding Patterns 3.en_US.srt
154 Finding Patterns 3.mp4
155 Preparing Our Data For Machine Learning.en_US.srt
155 Preparing Our Data For Machine Learning.mp4
156 Choosing The Right Models.en_US.srt
156 Choosing The Right Models.mp4
157 Experimenting With Machine Learning Models.en_US.srt
157 Experimenting With Machine Learning Models.mp4
158 Tuning_Improving Our Model.en_US.srt
158 Tuning_Improving Our Model.mp4
159 Tuning Hyperparameters.en_US.srt
159 Tuning Hyperparameters.mp4
160 Tuning Hyperparameters 2.en_US.srt
160 Tuning Hyperparameters 2.mp4
161 Tuning Hyperparameters 3.en_US.srt
161 Tuning Hyperparameters 3.mp4
162 Evaluating Our Model.en_US.srt
162 Evaluating Our Model.mp4
163 Evaluating Our Model 2.en_US.srt
163 Evaluating Our Model 2.mp4
164 Evaluating Our Model 3.en_US.srt
164 Evaluating Our Model 3.mp4
165 Finding The Most Important Features.en_US.srt
165 Finding The Most Important Features.mp4
166 End-to-end-Heart-Disease-Classification-Notebook-same-as-in-videos-.txt
166 End-to-end-Heart-Disease-Classification-Notebook-with-annotations-.txt
166 Reviewing The Project.en_US.srt
166 Reviewing The Project.mp4
12 Milestone Project 2_ Supervised Learning (Time Series Data)
167 Section Overview.en_US.srt
167 Section Overview.mp4
168 End-to-end-Bluebook-Bulldozer-Regression-Notebook-same-as-in-videos-.txt
168 End-to-end-Bluebook-Bulldozer-Regression-Notebook-with-annotations-.txt
168 Kaggle-Bluebook-for-Bulldozers-Competition.txt
168 Project Overview.en_US.srt
168 Project Overview.mp4
168 Structured-Data-Projects-on-GitHub.txt
169 Project Environment Setup.en_US.srt
169 Project Environment Setup.mp4
170 Step 1~4 Framework Setup.en_US.srt
170 Step 1~4 Framework Setup.mp4
171 Downloading the data for the next two projects.html
172 Exploring Our Data.en_US.srt
172 Exploring Our Data.mp4
173 Exploring Our Data 2.en_US.srt
173 Exploring Our Data 2.mp4
174 Feature Engineering.en_US.srt
174 Feature Engineering.mp4
175 Turning Data Into Numbers.en_US.srt
175 Turning Data Into Numbers.mp4
176 Filling Missing Numerical Values.en_US.srt
176 Filling Missing Numerical Values.mp4
176 Pandas-Categorical-Datatype-Documentation.txt
177 Filling Missing Categorical Values.en_US.srt
177 Filling Missing Categorical Values.mp4
178 Fitting A Machine Learning Model.en_US.srt
178 Fitting A Machine Learning Model.mp4
179 Splitting Data.en_US.srt
179 Splitting Data.mp4
180 Challenge_ What's wrong with splitting data after filling it_.html
181 Custom Evaluation Function.en_US.srt
181 Custom Evaluation Function.mp4
182 Reducing Data.en_US.srt
182 Reducing Data.mp4
183 RandomizedSearchCV.en_US.srt
183 RandomizedSearchCV.mp4
184 Improving Hyperparameters.en_US.srt
184 Improving Hyperparameters.mp4
185 Preproccessing Our Data.en_US.srt
185 Preproccessing Our Data.mp4
186 Making Predictions.en_US.srt
186 Making Predictions.mp4
187 End-to-end-Bluebook-Bulldozer-Regression-Notebook-same-as-in-videos-.txt
187 End-to-end-Bluebook-Bulldozer-Regression-Notebook-with-annotations-.txt
187 Feature Importance.en_US.srt
187 Feature Importance.mp4
13 Data Engineering
188 Data Engineering Introduction.en_US.srt
188 Data Engineering Introduction.mp4
189 Kaggle.txt
189 What Is Data_.en_US.srt
189 What Is Data_.mp4
190 What Is A Data Engineer_.en_US.srt
190 What Is A Data Engineer_.mp4
191 What Is A Data Engineer 2_.en_US.srt
191 What Is A Data Engineer 2_.mp4
192 What Is A Data Engineer 3_.en_US.srt
192 What Is A Data Engineer 3_.mp4
193 What Is A Data Engineer 4_.en_US.srt
193 What Is A Data Engineer 4_.mp4
194 A-Primer-on-ACID-Transactions.txt
194 OLTP-vs-OLAP.txt
194 Types Of Databases.en_US.srt
194 Types Of Databases.mp4
195 Quick Note_ Upcoming Video.html
196 Optional_ OLTP Databases.en_US.srt
196 Optional_ OLTP Databases.mp4
197 Optional_ Learn SQL.html
198 Hadoop, HDFS and MapReduce.en_US.srt
198 Hadoop, HDFS and MapReduce.mp4
199 Apache Spark and Apache Flink.en_US.srt
199 Apache Spark and Apache Flink.mp4
200 Kafka and Stream Processing.en_US.srt
200 Kafka and Stream Processing.mp4
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2
201 Section Overview.en_US.srt
201 Section Overview.mp4
202 Deep Learning and Unstructured Data.en_US.srt
202 Deep Learning and Unstructured Data.mp4
203 Setting Up With Google.html
204 End-to-end-Dog-Vision-Notebook-the-project-well-be-working-through-.txt
204 Google-Colab-IO-example-how-to-get-data-in-and-out-of-your-Colab-notebook-.txt
204 Google-Colab-our-workspace-for-the-upcoming-project-.txt
204 Introduction-to-Google-Colab-example-notebook.txt
204 Kaggle-Dog-Breed-Identification-Competition-the-basis-of-our-upcoming-project-.txt
204 Setting Up Google Colab.en_US.srt
204 Setting Up Google Colab.mp4
205 Google Colab Workspace.en_US.srt
205 Google Colab Workspace.mp4
205 Google-Colab-FAQ-things-you-should-know-about-Google-Colab-.txt
205 Google-Colab-our-workspace-for-the-upcoming-project-.txt
206 Google-Colab-IO-example-how-to-get-data-in-and-out-of-your-Colab-notebook-.txt
206 Kaggle-Dog-Breed-Identification-Competition-Data.txt
206 Uploading Project Data.en_US.srt
206 Uploading Project Data.mp4
207 Setting Up Our Data.en_US.srt
207 Setting Up Our Data.mp4
208 Setting Up Our Data 2.en_US.srt
208 Setting Up Our Data 2.mp4
209 Importing TensorFlow 2.en_US.srt
209 Importing TensorFlow 2.mp4
210 Loading-TensorFlow-2.0-into-a-Colab-Notebook-if-it-isnt-the-default-.txt
210 Optional_ TensorFlow 2.0 Default Issue.en_US.srt
210 Optional_ TensorFlow 2.0 Default Issue.mp4
211 Google-Colab-example-GPU-usage.txt
211 Using A GPU.en_US.srt
211 Using A GPU.mp4
212 Google-Colab-Example-of-GPU-speed-up-versus-CPU.txt
212 Introduction-to-Google-Colab-example-notebook.txt
212 Optional_ GPU and Google Colab.en_US.srt
212 Optional_ GPU and Google Colab.mp4
213 Optional_ Reloading Colab Notebook.en_US.srt
213 Optional_ Reloading Colab Notebook.mp4
214 Documentation-on-how-many-images-Google-recommends-for-image-problems.txt
214 Loading Our Data Labels.en_US.srt
214 Loading Our Data Labels.mp4
215 Preparing The Images.en_US.srt
215 Preparing The Images.mp4
216 Turning Data Labels Into Numbers.en_US.srt
216 Turning Data Labels Into Numbers.mp4
217 Blog-post-by-Rachel-Thomas-of-fast.ai-on-how-and-why-you-should-create-a-validation-set.txt
217 Creating Our Own Validation Set.en_US.srt
217 Creating Our Own Validation Set.mp4
218 Documentation-for-loading-images-in-TensorFlow.txt
218 Preprocess Images.en_US.srt
218 Preprocess Images.mp4
218 TensorFlow-guidelines-for-loading-all-kinds-of-data-turning-your-data-into-Tensors-.txt
219 Preprocess Images 2.en_US.srt
219 Preprocess Images 2.mp4
220 Turning Data Into Batches.en_US.srt
220 Turning Data Into Batches.mp4
221 Turning Data Into Batches 2.en_US.srt
221 Turning Data Into Batches 2.mp4
221 Yann-LeCuns-OG-of-deep-learning-Tweet-on-Batch-Sizes.txt
222 Visualizing Our Data.en_US.srt
222 Visualizing Our Data.mp4
223 Preparing Our Inputs and Outputs.en_US.srt
223 Preparing Our Inputs and Outputs.mp4
223 TensorFlow-Hub-resource-for-pre-trained-deep-learning-models-and-more-.txt
224 Optional_ How machines learn and what's going on behind the scenes_.html
225 Andrei-Karpathys-talk-on-AI-at-Tesla.txt
225 Building A Deep Learning Model.en_US.srt
225 Building A Deep Learning Model.mp4
225 MobileNetV2-the-model-were-using-on-TensorFlow-Hub.txt
225 Papers-with-Code-a-great-resource-for-some-of-the-best-machine-learning-papers-with-code-examples-.txt
225 PyTorch-Hub-PyTorch-version-of-TensorFlow-Hub-.txt
225 TensorFlow-Hub-resource-for-pre-trained-deep-learning-models-and-more-.txt
226 Building A Deep Learning Model 2.en_US.srt
226 Building A Deep Learning Model 2.mp4
226 Keras-in-TensorFlow-Overview-Documentation.txt
227 Building A Deep Learning Model 3.en_US.srt
227 Building A Deep Learning Model 3.mp4
227 MobileNetV2-the-model-were-using-architecture-explanation-by-Sik-Ho-Tsang.txt
227 Step-by-step-breakdown-of-a-convolutional-neural-network-what-MobileNetV2-is-made-of-.txt
227 The-Softmax-Function-activation-function-we-use-in-our-model-.txt
228 -Article-How-to-choose-loss-activation-functions-when-building-a-deep-learning-model.txt
228 Building A Deep Learning Model 4.en_US.srt
228 Building A Deep Learning Model 4.mp4
229 Summarizing Our Model.en_US.srt
229 Summarizing Our Model.mp4
230 Evaluating Our Model.en_US.srt
230 Evaluating Our Model.mp4
230 TensorBoard-Callback-Documentation.txt
231 Early-Stopping-Callback-a-way-to-stop-your-model-from-training-when-it-stops-improving-Documentation.txt
231 Preventing Overfitting.en_US.srt
231 Preventing Overfitting.mp4
232 Training Your Deep Neural Network.en_US.srt
232 Training Your Deep Neural Network.mp4
233 Evaluating Performance With TensorBoard.en_US.srt
233 Evaluating Performance With TensorBoard.mp4
234 Make And Transform Predictions.en_US.srt
234 Make And Transform Predictions.mp4
235 TensorFlow-documentation-for-the-unbatch-function.txt
235 Transform Predictions To Text.en_US.srt
235 Transform Predictions To Text.mp4
236 Visualizing Model Predictions.en_US.srt
236 Visualizing Model Predictions.mp4
237 Visualizing And Evaluate Model Predictions 2.en_US.srt
237 Visualizing And Evaluate Model Predictions 2.mp4
238 Visualizing And Evaluate Model Predictions 3.en_US.srt
238 Visualizing And Evaluate Model Predictions 3.mp4
239 Saving And Loading A Trained Model.en_US.srt
239 Saving And Loading A Trained Model.mp4
240 Training Model On Full Dataset.en_US.srt
240 Training Model On Full Dataset.mp4
241 Dog-Vision-Prediction-Probabilities-Array.txt
241 Making Predictions On Test Images.en_US.srt
241 Making Predictions On Test Images.mp4
242 Dog-Vision-Predictions-with-MobileNetV2-Ready-for-Kaggle-Submission.txt
242 Submitting Model to Kaggle.en_US.srt
242 Submitting Model to Kaggle.mp4
243 End-to-end-Dog-Vision-Notebook-from-the-videos-.txt
243 End-to-end-Dog-Vision-Notebook-with-annotations-.txt
243 Making Predictions On Our Images.en_US.srt
243 Making Predictions On Our Images.mp4
244 Finishing Dog Vision_ Where to next_.html
15 Storytelling + Communication_ How To Present Your Work
245 Section Overview.en_US.srt
245 Section Overview.mp4
246 Communicating Your Work.en_US.srt
246 Communicating Your Work.mp4
246 How-to-Think-About-Communicating-and-Sharing-Your-Work-blog-post-.txt
247 Communicating With Managers.en_US.srt
247 Communicating With Managers.mp4
248 Communicating With Co-Workers.en_US.srt
248 Communicating With Co-Workers.mp4
249 Weekend Project Principle.en_US.srt
249 Weekend Project Principle.mp4
250 Communicating With Outside World.en_US.srt
250 Communicating With Outside World.mp4
250 Devblog-by-Hashnode-an-easy-and-free-way-to-create-a-blog-you-own-.txt
250 fast-template-by-fast.ai-a-template-you-can-use-for-your-blog-on-GitHub-Pages-.txt
251 Storytelling.en_US.srt
251 Storytelling.mp4
252 Communicating and sharing your work_ Further reading.html
17 Learn Python
267 What Is A Programming Language.en_US.srt
267 What Is A Programming Language.mp4
268 Python Interpreter.en_US.srt
268 Python Interpreter.mp4
269 How To Run Python Code.en_US.srt
269 How To Run Python Code.mp4
270 Our First Python Program.en_US.srt
270 Our First Python Program.mp4
271 Python 2 vs Python 3.en_US.srt
271 Python 2 vs Python 3.mp4
271 Python-2-vs-Python-3.txt
271 The-Story-of-Python.txt
272 Exercise_ How Does Python Work_.en_US.srt
272 Exercise_ How Does Python Work_.mp4
273 Learning Python.en_US.srt
273 Learning Python.mp4
274 Python Data Types.en_US.srt
274 Python Data Types.mp4
275 How To Succeed.html
276 Floating-point-numbers.txt
276 Numbers.en_US.srt
276 Numbers.mp4
277 Math Functions.en_US.srt
277 Math Functions.mp4
278 DEVELOPER FUNDAMENTALS_ I.en_US.srt
278 DEVELOPER FUNDAMENTALS_ I.mp4
279 Exercise-Repl.txt
279 Operator Precedence.en_US.srt
279 Operator Precedence.mp4
280 Exercise-Repl.txt
280 Exercise_ Operator Precedence.html
281 Base-Numbers.txt
281 Optional_ bin() and complex.en_US.srt
281 Optional_ bin() and complex.mp4
282 Python-Keywords.txt
282 Variables.en_US.srt
282 Variables.mp4
283 Expressions vs Statements.en_US.srt
283 Expressions vs Statements.mp4
284 Augmented Assignment Operator.en_US.srt
284 Augmented Assignment Operator.mp4
284 Exercise-Repl.txt
285 Strings.en_US.srt
285 Strings.mp4
286 String Concatenation.en_US.srt
286 String Concatenation.mp4
287 Type Conversion.en_US.srt
287 Type Conversion.mp4
288 Escape Sequences.en_US.srt
288 Escape Sequences.mp4
289 Exercise-Repl.txt
289 Formatted Strings.en_US.srt
289 Formatted Strings.mp4
290 Exercise-Repl.txt
290 String Indexes.en_US.srt
290 String Indexes.mp4
291 Immutability.en_US.srt
291 Immutability.mp4
292 Built-In Functions + Methods.en_US.srt
292 Built-In Functions + Methods.mp4
292 Built-in-Functions.txt
292 String-Methods.txt
293 Booleans.en_US.srt
293 Booleans.mp4
294 Exercise_ Type Conversion.en_US.srt
294 Exercise_ Type Conversion.mp4
295 DEVELOPER FUNDAMENTALS_ II.en_US.srt
295 DEVELOPER FUNDAMENTALS_ II.mp4
295 Python-Comments-Best-Practices.txt
296 Exercise_ Password Checker.en_US.srt
296 Exercise_ Password Checker.mp4
297 Lists.en_US.srt
297 Lists.mp4
298 Exercise-Repl.txt
298 List Slicing.en_US.srt
298 List Slicing.mp4
299 Exercise-Repl.txt
299 Matrix.en_US.srt
299 Matrix.mp4
300 List Methods.en_US.srt
300 List Methods.mp4
300 List-Methods.txt
301 Exercise-Repl.txt
301 List Methods 2.en_US.srt
301 List Methods 2.mp4
301 Python-Keywords.txt
302 List Methods 3.en_US.srt
302 List Methods 3.mp4
303 Common List Patterns.en_US.srt
303 Common List Patterns.mp4
303 Exercise-Repl.txt
304 List Unpacking.en_US.srt
304 List Unpacking.mp4
305 None.en_US.srt
305 None.mp4
306 Dictionaries.en_US.srt
306 Dictionaries.mp4
307 DEVELOPER FUNDAMENTALS_ III.en_US.srt
307 DEVELOPER FUNDAMENTALS_ III.mp4
308 Dictionary Keys.en_US.srt
308 Dictionary Keys.mp4
309 Dictionary Methods.en_US.srt
309 Dictionary Methods.mp4
309 Dictionary-Methods.txt
310 Dictionary Methods 2.en_US.srt
310 Dictionary Methods 2.mp4
310 Exercise-Repl.txt
311 Tuples.en_US.srt
311 Tuples.mp4
312 Tuple-Methods.txt
312 Tuples 2.en_US.srt
312 Tuples 2.mp4
313 Sets.en_US.srt
313 Sets.mp4
314 Exercise-Repl.txt
314 Sets 2.en_US.srt
314 Sets 2.mp4
314 Sets-Methods.txt
18 Learn Python Part 2
315 Breaking The Flow.en_US.srt
315 Breaking The Flow.mp4
316 Conditional Logic.en_US.srt
316 Conditional Logic.mp4
317 Indentation In Python.en_US.srt
317 Indentation In Python.mp4
318 Truthy vs Falsey.en_US.srt
318 Truthy vs Falsey.mp4
318 Truthy-vs-Falsey-Stackoverflow.txt
319 Ternary Operator.en_US.srt
319 Ternary Operator.mp4
320 Short Circuiting.en_US.srt
320 Short Circuiting.mp4
321 Logical Operators.en_US.srt
321 Logical Operators.mp4
322 Exercise_ Logical Operators.en_US.srt
322 Exercise_ Logical Operators.mp4
323 is vs ==.en_US.srt
323 is vs ==.mp4
324 For Loops.en_US.srt
324 For Loops.mp4
325 Iterables.en_US.srt
325 Iterables.mp4
326 Exercise_ Tricky Counter.en_US.srt
326 Exercise_ Tricky Counter.mp4
326 Solution-Repl.txt
327 range().en_US.srt
327 range().mp4
328 enumerate().en_US.srt
328 enumerate().mp4
329 While Loops.en_US.srt
329 While Loops.mp4
330 While Loops 2.en_US.srt
330 While Loops 2.mp4
331 break, continue, pass.en_US.srt
331 break, continue, pass.mp4
332 Exercise-Repl.txt
332 Our First GUI.en_US.srt
332 Our First GUI.mp4
332 Solution-Repl.txt
333 DEVELOPER FUNDAMENTALS_ IV.en_US.srt
333 DEVELOPER FUNDAMENTALS_ IV.mp4
334 Exercise_ Find Duplicates.en_US.srt
334 Exercise_ Find Duplicates.mp4
334 Solution-Repl.txt
335 Functions.en_US.srt
335 Functions.mp4
336 Parameters and Arguments.en_US.srt
336 Parameters and Arguments.mp4
337 Default Parameters and Keyword Arguments.en_US.srt
337 Default Parameters and Keyword Arguments.mp4
338 return.en_US.srt
338 return.mp4
339 Exercise_ Tesla.html
340 Methods vs Functions.en_US.srt
340 Methods vs Functions.mp4
341 Docstrings.en_US.srt
341 Docstrings.mp4
342 Clean Code.en_US.srt
342 Clean Code.mp4
343 _args and __kwargs.en_US.srt
343 _args and __kwargs.mp4
344 Exercise_ Functions.en_US.srt
344 Exercise_ Functions.mp4
344 Solution-Repl.txt
345 Scope.en_US.srt
345 Scope.mp4
346 Scope Rules.en_US.srt
346 Scope Rules.mp4
347 global Keyword.en_US.srt
347 global Keyword.mp4
348 nonlocal Keyword.en_US.srt
348 nonlocal Keyword.mp4
348 Solution-Repl.txt
349 Why Do We Need Scope_.en_US.srt
349 Why Do We Need Scope_.mp4
350 Pure Functions.en_US.srt
350 Pure Functions.mp4
351 map().en_US.srt
351 map().mp4
352 filter().en_US.srt
352 filter().mp4
353 zip().en_US.srt
353 zip().mp4
354 reduce().en_US.srt
354 reduce().mp4
355 List Comprehensions.en_US.srt
355 List Comprehensions.mp4
356 Set Comprehensions.en_US.srt
356 Set Comprehensions.mp4
357 Exercise-Repl.txt
357 Exercise_ Comprehensions.en_US.srt
357 Exercise_ Comprehensions.mp4
357 Solution-Repl.txt
358 Python Exam_ Testing Your Understanding.html
359 Modules in Python.en_US.srt
359 Modules in Python.mp4
360 Quick Note_ Upcoming Videos.html
361 Optional_ PyCharm.en_US.srt
361 Optional_ PyCharm.mp4
362 Packages in Python.en_US.srt
362 Packages in Python.mp4
363 Different Ways To Import.en_US.srt
363 Different Ways To Import.mp4
364 Next Steps.html
19 Bonus_ Learn Advanced Statistics and Mathematics for FREE!
365 Statistics and Mathematics.html
20 Where To Go From Here_
366 Become An Alumni.html
367 Thank You.en_US.srt
367 Thank You.mp4
21 Extras
368 Bonus_ Special Thank You Gift!.html
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