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[ TutPig com ] Udemy - Data Science on Python 2021-22
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1. Introduction to Python
1. History and Introduction of Python.mp4
1. History and Introduction of Python.srt
2. Installation of Anaconda Navigator for Jupyter Notebook and Spyder.mp4
2. Installation of Anaconda Navigator for Jupyter Notebook and Spyder.srt
3. Spyder IDE.mp4
3. Spyder IDE.srt
4. Jupyter Notebook.mp4
4. Jupyter Notebook.srt
5. Basic Variables.mp4
5. Basic Variables.srt
6. Numeric Operators.mp4
6. Numeric Operators.srt
7. Isinstance and Operators.mp4
7. Isinstance and Operators.srt
8. Types of data.mp4
8. Types of data.srt
10. Building a Predictive Model (Logistic Regression) in Python
1. Introduction to Logistic Regression Model.mp4
1. Introduction to Logistic Regression Model.srt
2. Log odds Ratio.mp4
2. Log odds Ratio.srt
3. Method of Logistic Regression.mp4
3. Method of Logistic Regression.srt
4. Receivers Operating Characteristics Curve.mp4
4. Receivers Operating Characteristics Curve.srt
5. Application of logistic regression in Python-Part 1.mp4
5. Application of logistic regression in Python-Part 1.srt
6. Application of logistic regression in Python-Part 2.mp4
6. Application of logistic regression in Python-Part 2.srt
7. Application of logistic regression in Python-Part 3.mp4
7. Application of logistic regression in Python-Part 3.srt
8. Application of logistic regression in Python-Part 4.mp4
8. Application of logistic regression in Python-Part 4.srt
11. Time Series theory and its application in Python
1. Time Series Modelling (Theory).mp4
1. Time Series Modelling (Theory).srt
2. Smoothing and Stationarity of Time Series.mp4
2. Smoothing and Stationarity of Time Series.srt
3. AR, MA, ARIMA.mp4
3. AR, MA, ARIMA.srt
4. Time series application in Python- Part 1.mp4
4. Time series application in Python- Part 1.srt
5. Time series application in Python- Part 2.mp4
5. Time series application in Python- Part 2.srt
6. Time series application in Python- Part 3.mp4
6. Time series application in Python- Part 3.srt
7. Time series application in Python- Part 4.mp4
7. Time series application in Python- Part 4.srt
8. Time series application in Python- Part 5.mp4
8. Time series application in Python- Part 5.srt
9. Time series application in Python- Part 6.mp4
9. Time series application in Python- Part 6.srt
12. Web Scraping using BeautifulSoup in Python
1. A simple example on Web Scraping using Beautiful Soup in Python.mp4
1. A simple example on Web Scraping using Beautiful Soup in Python.srt
2. Data Structures and Conditional Executions in Python
1. Lists.mp4
1. Lists.srt
2. Tuples.mp4
2. Tuples.srt
3. Dictionaries.mp4
3. Dictionaries.srt
4. Complex lists and repetitions.mp4
4. Complex lists and repetitions.srt
5. More on Lists and Sets.mp4
5. More on Lists and Sets.srt
6. Strings.mp4
6. Strings.srt
3. Conditions and Loops in Python
1. Application of If Condition in Python.mp4
1. Application of If Condition in Python.srt
2. Nested IfElse condition in Python.mp4
2. Nested IfElse condition in Python.srt
3. Examples on For and Nested For in Python.mp4
3. Examples on For and Nested For in Python.srt
4. Application of Switch Case in Python.mp4
4. Application of Switch Case in Python.srt
5. Pass, Break and Continue explained in Python.mp4
5. Pass, Break and Continue explained in Python.srt
4. Working with Pandas in Python
1. Introduction to Pandas.mp4
1. Introduction to Pandas.srt
2. Subsetting and missing value imputation in Python.mp4
2. Subsetting and missing value imputation in Python.srt
3. Crosstabs, Merging and Sorting in Python.mp4
3. Crosstabs, Merging and Sorting in Python.srt
4. Exploring with Pandas.mp4
4. Exploring with Pandas.srt
5. Data Munging with Pandas.mp4
5. Data Munging with Pandas.srt
5. Plotting in Python
1. Basic Plotting with matplotlib in Python.mp4
1. Basic Plotting with matplotlib in Python.srt
2. Bar Chart Application in Python.mp4
2. Bar Chart Application in Python.srt
3. Histogram in Python.mp4
3. Histogram in Python.srt
4. Application of Grouped Bar Graph in Python.mp4
4. Application of Grouped Bar Graph in Python.srt
5. Scatter Plot in Python.mp4
5. Scatter Plot in Python.srt
6. Stackplot in Python.mp4
6. Stackplot in Python.srt
7. Plotting with Plotly in Python Part-1.mp4
7. Plotting with Plotly in Python Part-1.srt
8. Plotting with Plotly in Python Part-2.mp4
8. Plotting with Plotly in Python Part-2.srt
9. Plotting with Plotly in Python Part-3.mp4
9. Plotting with Plotly in Python Part-3.srt
6. Statistical Analysis and Application in Python (part I)
1. Sampling Theory and Estimation.mp4
1. Sampling Theory and Estimation.srt
10. Understanding Chi-Square Test.mp4
10. Understanding Chi-Square Test.srt
11. Application of Chi-Square Test in Python.mp4
11. Application of Chi-Square Test in Python.srt
12. Correlation and Partial Correlation Concept.mp4
12. Correlation and Partial Correlation Concept.srt
2. Sampling Bias, Parameters and Estimates.mp4
2. Sampling Bias, Parameters and Estimates.srt
3. Introduction to Testing of Hypothesis.mp4
3. Introduction to Testing of Hypothesis.srt
4. Concepts of Hypothesis Testing.mp4
4. Concepts of Hypothesis Testing.srt
5. What is P-value and its Significance.mp4
5. What is P-value and its Significance.srt
6. What are various kinds of T-Tests.mp4
6. What are various kinds of T-Tests.srt
7. Application of One Sample T-Test in Python.mp4
7. Application of One Sample T-Test in Python.srt
8. Application of Two Sample T-Test in Python.mp4
8. Application of Two Sample T-Test in Python.srt
9. Application of Paired Sample T-test in Python.mp4
9. Application of Paired Sample T-test in Python.srt
7. Statistical Analysis and Application in Python (part II)
1. Introduction to Analysis of Variance.mp4
1. Introduction to Analysis of Variance.srt
2. Calculation of Total Sum of Square, Error Sum of Square, and Model Sum of Square.mp4
2. Calculation of Total Sum of Square, Error Sum of Square, and Model Sum of Square.srt
3. Types of Anova.mp4
3. Types of Anova.srt
4. Application of One-Way Anova in Python.mp4
4. Application of One-Way Anova in Python.srt
5. Application of Two-Way Anova in Python.mp4
5. Application of Two-Way Anova in Python.srt
8. Theory of Factor and Cluster Analysis in Python
1. Theory on Factor Analysis.mp4
1. Theory on Factor Analysis.srt
10. Cluster Analysis Application in Python- Part 1.mp4
10. Cluster Analysis Application in Python- Part 1.srt
11. Cluster Analysis Application in Python- Part 2.mp4
11. Cluster Analysis Application in Python- Part 2.srt
12. Cluster Analysis Application in Python-3.mp4
12. Cluster Analysis Application in Python-3.srt
2. Theory of Factor Analysis- Part 1.mp4
2. Theory of Factor Analysis- Part 1.srt
3. Theory of Factor Analysis- Part 2.mp4
3. Theory of Factor Analysis- Part 2.srt
4. Factor Analysis Application in Python- Part 1.mp4
4. Factor Analysis Application in Python- Part 1.srt
5. Factor Analysis Application in Python- Part 2.mp4
5. Factor Analysis Application in Python- Part 2.srt
6. Factor Analysis Application in Python-Part 3.mp4
6. Factor Analysis Application in Python-Part 3.srt
7. Theory on Cluster Analysis- Part 1.mp4
7. Theory on Cluster Analysis- Part 1.srt
8. Theory on Cluster Analysis- Part 2.mp4
8. Theory on Cluster Analysis- Part 2.srt
9. Theory on Cluster Analysis- Part 3.mp4
9. Theory on Cluster Analysis- Part 3.srt
9. Building a Predictive Model (Linear Regression) in Python
1. Simple Linear Regression Model (Theory).mp4
1. Simple Linear Regression Model (Theory).srt
2. Method of Least Squares and Goodness of Fit.mp4
2. Method of Least Squares and Goodness of Fit.srt
3. Goodness of Fit and Multicollinearity.mp4
3. Goodness of Fit and Multicollinearity.srt
4. Autocorrelation and Heteroskedasticity.mp4
4. Autocorrelation and Heteroskedasticity.srt
5. Application of linear regression in Python-Part 1.mp4
5. Application of linear regression in Python-Part 1.srt
6. Application of linear regression in Python-Part 2.mp4
6. Application of linear regression in Python-Part 2.srt
Bonus Resources.txt
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