Udemy - Data Science on Python 2021-22

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Udemy - Data Science on Python 2021-22

Torrent Contents Size: 3.9 GB

Udemy - Data Science on Python 2021-22
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1. A simple example on Web Scraping using Beautiful Soup in Python.mp4
MP4
69 MB
1. A simple example on Web Scraping using Beautiful Soup in Python.srt
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12 KB
1. Application of If Condition in Python.mp4
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44.9 MB
1. Application of If Condition in Python.srt
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8.8 KB
1. Basic Plotting with matplotlib in Python.mp4
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39.7 MB
1. Basic Plotting with matplotlib in Python.srt
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6.3 KB
1. History and Introduction of Python.mp4
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49.1 MB
1. History and Introduction of Python.srt
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7.1 KB
1. Introduction to Analysis of Variance.mp4
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13.6 MB
1. Introduction to Analysis of Variance.srt
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5.3 KB
1. Introduction to Logistic Regression Model.mp4
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40.7 MB
1. Introduction to Logistic Regression Model.srt
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9.5 KB
1. Introduction to Pandas.mp4
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27.5 MB
1. Introduction to Pandas.srt
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4 KB
1. Lists.mp4
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48.7 MB
1. Lists.srt
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8.1 KB
1. Sampling Theory and Estimation.mp4
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52.9 MB
1. Sampling Theory and Estimation.srt
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13.4 KB
1. Simple Linear Regression Model (Theory).mp4
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52.8 MB
1. Simple Linear Regression Model (Theory).srt
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13.1 KB
1. Theory on Factor Analysis.mp4
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27 MB
1. Theory on Factor Analysis.srt
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9.1 KB
1. Time Series Modelling (Theory).mp4
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62.3 MB
1. Time Series Modelling (Theory).srt
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12.4 KB
10. Cluster Analysis Application in Python- Part 1.mp4
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25.9 MB
10. Cluster Analysis Application in Python- Part 1.srt
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2.6 KB
10. Understanding Chi-Square Test.mp4
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16.4 MB
10. Understanding Chi-Square Test.srt
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6.1 KB
11. Application of Chi-Square Test in Python.mp4
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39.8 MB
11. Application of Chi-Square Test in Python.srt
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9.4 KB
11. Cluster Analysis Application in Python- Part 2.mp4
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34.1 MB
11. Cluster Analysis Application in Python- Part 2.srt
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3.6 KB
12. Cluster Analysis Application in Python-3.mp4
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51.3 MB
12. Cluster Analysis Application in Python-3.srt
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6 KB
12. Correlation and Partial Correlation Concept.mp4
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16.4 MB
12. Correlation and Partial Correlation Concept.srt
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6.1 KB
2. Bar Chart Application in Python.mp4
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52.6 MB
2. Bar Chart Application in Python.srt
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7 KB
2. Calculation of Total Sum of Square, Error Sum of Square, and Model Sum of Square.mp4
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23.5 MB
2. Calculation of Total Sum of Square, Error Sum of Square, and Model Sum of Square.srt
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8 KB
2. Installation of Anaconda Navigator for Jupyter Notebook and Spyder.mp4
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45 MB
2. Installation of Anaconda Navigator for Jupyter Notebook and Spyder.srt
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7.7 KB
2. Log odds Ratio.mp4
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40.4 MB
2. Log odds Ratio.srt
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9.2 KB
2. Method of Least Squares and Goodness of Fit.mp4
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42.5 MB
2. Method of Least Squares and Goodness of Fit.srt
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12.3 KB
2. Nested IfElse condition in Python.mp4
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35.5 MB
2. Nested IfElse condition in Python.srt
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5.7 KB
2. Sampling Bias, Parameters and Estimates.mp4
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26.6 MB
2. Sampling Bias, Parameters and Estimates.srt
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6.1 KB
2. Smoothing and Stationarity of Time Series.mp4
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43.6 MB
2. Smoothing and Stationarity of Time Series.srt
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8.9 KB
2. Subsetting and missing value imputation in Python.mp4
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52.9 MB
2. Subsetting and missing value imputation in Python.srt
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7.1 KB
2. Theory of Factor Analysis- Part 1.mp4
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30.3 MB
2. Theory of Factor Analysis- Part 1.srt
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7.1 KB
2. Tuples.mp4
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61.3 MB
2. Tuples.srt
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11.1 KB
3. AR, MA, ARIMA.mp4
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67 MB
3. AR, MA, ARIMA.srt
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13.2 KB
3. Crosstabs, Merging and Sorting in Python.mp4
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84.4 MB
3. Crosstabs, Merging and Sorting in Python.srt
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8.6 KB
3. Dictionaries.mp4
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89.8 MB
3. Dictionaries.srt
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13.2 KB
3. Examples on For and Nested For in Python.mp4
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64.1 MB
3. Examples on For and Nested For in Python.srt
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10.1 KB
3. Goodness of Fit and Multicollinearity.mp4
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65.4 MB
3. Goodness of Fit and Multicollinearity.srt
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15.6 KB
3. Histogram in Python.mp4
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59.8 MB
3. Histogram in Python.srt
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6.4 KB
3. Introduction to Testing of Hypothesis.mp4
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53.1 MB
3. Introduction to Testing of Hypothesis.srt
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12 KB
3. Method of Logistic Regression.mp4
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15.7 MB
3. Method of Logistic Regression.srt
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10.2 KB
3. Spyder IDE.mp4
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57.3 MB
3. Spyder IDE.srt
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9.6 KB
3. Theory of Factor Analysis- Part 2.mp4
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44.5 MB
3. Theory of Factor Analysis- Part 2.srt
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11.5 KB
3. Types of Anova.mp4
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20.8 MB
3. Types of Anova.srt
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5.8 KB
4. Application of Grouped Bar Graph in Python.mp4
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67.8 MB
4. Application of Grouped Bar Graph in Python.srt
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9.4 KB
4. Application of One-Way Anova in Python.mp4
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42.8 MB
4. Application of One-Way Anova in Python.srt
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9.4 KB
4. Application of Switch Case in Python.mp4
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23.2 MB
4. Application of Switch Case in Python.srt
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3.3 KB
4. Autocorrelation and Heteroskedasticity.mp4
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34.2 MB
4. Autocorrelation and Heteroskedasticity.srt
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9.3 KB
4. Complex lists and repetitions.mp4
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19.8 MB
4. Complex lists and repetitions.srt
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11.9 KB
4. Concepts of Hypothesis Testing.mp4
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44.9 MB
4. Concepts of Hypothesis Testing.srt
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9.5 KB
4. Exploring with Pandas.mp4
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76.7 MB
4. Exploring with Pandas.srt
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9.8 KB
4. Factor Analysis Application in Python- Part 1.mp4
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6.3 MB
4. Factor Analysis Application in Python- Part 1.srt
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2.7 KB
4. Jupyter Notebook.mp4
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17.1 MB
4. Jupyter Notebook.srt
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4.1 KB
4. Receivers Operating Characteristics Curve.mp4
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15.9 MB
4. Receivers Operating Characteristics Curve.srt
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3.2 KB
4. Time series application in Python- Part 1.mp4
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68.4 MB
4. Time series application in Python- Part 1.srt
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6.4 KB
5. Application of Two-Way Anova in Python.mp4
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33 MB
5. Application of Two-Way Anova in Python.srt
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6.9 KB
5. Application of linear regression in Python-Part 1.mp4
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47.2 MB
5. Application of linear regression in Python-Part 1.srt
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4.9 KB
5. Application of logistic regression in Python-Part 1.mp4
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43.3 MB
5. Application of logistic regression in Python-Part 1.srt
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3.4 KB
5. Basic Variables.mp4
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30.8 MB
5. Basic Variables.srt
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6.8 KB
5. Data Munging with Pandas.mp4
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40.1 MB
5. Data Munging with Pandas.srt
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4.3 KB
5. Factor Analysis Application in Python- Part 2.mp4
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49 MB
5. Factor Analysis Application in Python- Part 2.srt
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5 KB
5. More on Lists and Sets.mp4
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63.6 MB
5. More on Lists and Sets.srt
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11.3 KB
5. Pass, Break and Continue explained in Python.mp4
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50.4 MB
5. Pass, Break and Continue explained in Python.srt
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8.3 KB
5. Scatter Plot in Python.mp4
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82.1 MB
5. Scatter Plot in Python.srt
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8.3 KB
5. Time series application in Python- Part 2.mp4
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28.9 MB
5. Time series application in Python- Part 2.srt
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3.3 KB
5. What is P-value and its Significance.mp4
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40.9 MB
5. What is P-value and its Significance.srt
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6.7 KB
6. Application of linear regression in Python-Part 2.mp4
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49.2 MB
6. Application of linear regression in Python-Part 2.srt
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4.5 KB
6. Application of logistic regression in Python-Part 2.mp4
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39 MB
6. Application of logistic regression in Python-Part 2.srt
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3.8 KB
6. Factor Analysis Application in Python-Part 3.mp4
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33.5 MB
6. Factor Analysis Application in Python-Part 3.srt
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3.9 KB
6. Numeric Operators.mp4
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20.4 MB
6. Numeric Operators.srt
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4.5 KB
6. Stackplot in Python.mp4
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98.1 MB
6. Stackplot in Python.srt
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12 KB
6. Strings.mp4
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33.9 MB
6. Strings.srt
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5.3 KB
6. Time series application in Python- Part 3.mp4
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47 MB
6. Time series application in Python- Part 3.srt
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4.3 KB
6. What are various kinds of T-Tests.mp4
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30 MB
6. What are various kinds of T-Tests.srt
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6.1 KB
7. Application of One Sample T-Test in Python.mp4
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81.8 MB
7. Application of One Sample T-Test in Python.srt
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13.3 KB
7. Application of logistic regression in Python-Part 3.mp4
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44.9 MB
7. Application of logistic regression in Python-Part 3.srt
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4.2 KB
7. Isinstance and Operators.mp4
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29.1 MB
7. Isinstance and Operators.srt
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8.6 KB
7. Plotting with Plotly in Python Part-1.mp4
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23.2 MB
7. Plotting with Plotly in Python Part-1.srt
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4.9 KB
7. Theory on Cluster Analysis- Part 1.mp4
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30.9 MB
7. Theory on Cluster Analysis- Part 1.srt
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8 KB
7. Time series application in Python- Part 4.mp4
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44.7 MB
7. Time series application in Python- Part 4.srt
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4.1 KB
8. Application of Two Sample T-Test in Python.mp4
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64.8 MB
8. Application of Two Sample T-Test in Python.srt
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9 KB
8. Application of logistic regression in Python-Part 4.mp4
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46.3 MB
8. Application of logistic regression in Python-Part 4.srt
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3.9 KB
8. Plotting with Plotly in Python Part-2.mp4
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112.3 MB
8. Plotting with Plotly in Python Part-2.srt
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8.9 KB
8. Theory on Cluster Analysis- Part 2.mp4
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26.1 MB
8. Theory on Cluster Analysis- Part 2.srt
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7 KB
8. Time series application in Python- Part 5.mp4
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53.3 MB
8. Time series application in Python- Part 5.srt
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5.7 KB
8. Types of data.mp4
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37.8 MB
8. Types of data.srt
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9.6 KB
9. Application of Paired Sample T-test in Python.mp4
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102.6 MB
9. Application of Paired Sample T-test in Python.srt
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14.7 KB
9. Plotting with Plotly in Python Part-3.mp4
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77.3 MB
9. Plotting with Plotly in Python Part-3.srt
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7.3 KB
9. Theory on Cluster Analysis- Part 3.mp4
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36.8 MB
9. Theory on Cluster Analysis- Part 3.srt
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8.6 KB
9. Time series application in Python- Part 6.mp4
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107.1 MB
9. Time series application in Python- Part 6.srt
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9.1 KB
Bonus Resources.txt
TXT
307.2 B
Get Bonus Downloads Here.url
URL
204.8 B

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