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GetFreeCourses Co Udemy Python Bootcamp for Data Science 2021 Numpy Pandas Seaborn

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GetFreeCourses.Co-Udemy-Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn

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Total Size

2.1 GB

Total Files

200

Last Seen

2024-07-23 23:41

Hash

3258A9FA3C7354FF49D9961C6C3DAF2E667B27B6

/1. Introduction/

1. Course Introduction.mp4

14.6 MB

1. Course Introduction.srt

4.6 KB

2. How to Download Course Notebooks.mp4

39.9 MB

2. How to Download Course Notebooks.srt

6.4 KB

2.1 How to download course notebooks.pdf

143.5 KB

3. Overview of Course Curriculum.mp4

28.4 MB

3. Overview of Course Curriculum.srt

6.0 KB

/10. Module 10 Data Wrangling1 Hierarchical Indexing/

1. Hierarchical Indexing.mp4

32.7 MB

1. Hierarchical Indexing.srt

6.6 KB

2. Reordering and Sorting Index Levels.mp4

15.0 MB

2. Reordering and Sorting Index Levels.srt

3.1 KB

3. Summary Statistics by Level.mp4

18.1 MB

3. Summary Statistics by Level.srt

4.2 KB

4. Indexing with Columns in Dataframe.mp4

24.2 MB

4. Indexing with Columns in Dataframe.srt

5.1 KB

5. Short Quiz.html

0.2 KB

/11. Module 11 Data Wrangling2 Combining and Merging Datasets/

1. Merging Datasets on Keys (common columns).mp4

38.7 MB

1. Merging Datasets on Keys (common columns).srt

8.4 KB

2. Merging Datasets on Index.mp4

15.7 MB

2. Merging Datasets on Index.srt

3.1 KB

3. Concatenating Along an Axis.mp4

31.6 MB

3. Concatenating Along an Axis.srt

7.4 KB

4. Short Quiz.html

0.2 KB

/12. Module 12 Data Wrangling3 Reshaping and Pivoting/

1. Reshaping by Stacking and Unstacking.mp4

27.8 MB

1. Reshaping by Stacking and Unstacking.srt

5.7 KB

2. Reshaping by Melting (Wide to Long ).mp4

9.9 MB

2. Reshaping by Melting (Wide to Long ).srt

6.0 KB

3. Reshaping by Pivoting (Long to Wide).mp4

30.3 MB

3. Reshaping by Pivoting (Long to Wide).srt

6.6 KB

4. Short Quiz.html

0.2 KB

/13. Module 13 Data Visualization with Matplotlib and Seaborn/

1. Introducing Matplotlib Library.mp4

12.0 MB

1. Introducing Matplotlib Library.srt

3.2 KB

10. Bar Plots with Dataframes.mp4

21.6 MB

10. Bar Plots with Dataframes.srt

4.3 KB

11. Bar Plots with Seaborn.mp4

26.9 MB

11. Bar Plots with Seaborn.srt

5.7 KB

12. Histograms and Density Plots.mp4

29.1 MB

12. Histograms and Density Plots.srt

5.3 KB

13. Scatter Plots and Pair Plots.mp4

37.5 MB

13. Scatter Plots and Pair Plots.srt

5.6 KB

14. Factor Plots for Categorical Data.mp4

28.6 MB

14. Factor Plots for Categorical Data.srt

6.5 KB

15. Short Quiz.html

0.2 KB

2. Creating Figures and Subplots.mp4

32.7 MB

2. Creating Figures and Subplots.srt

6.9 KB

3. Changing Colors, Markers and Linestyle.mp4

23.0 MB

3. Changing Colors, Markers and Linestyle.srt

4.1 KB

4. Customizing Ticks and Labels.mp4

30.0 MB

4. Customizing Ticks and Labels.srt

5.0 KB

5. Adding Legends.mp4

25.8 MB

5. Adding Legends.srt

4.5 KB

6. Adding Texts and Arrows on a Plot.mp4

24.6 MB

6. Adding Texts and Arrows on a Plot.srt

5.1 KB

7. Adding Annotations and Drawings on a Plot.mp4

33.1 MB

7. Adding Annotations and Drawings on a Plot.srt

7.8 KB

8. Saving Plots to a File.mp4

19.0 MB

8. Saving Plots to a File.srt

4.0 KB

9. Line Plots with Dataframe.mp4

28.0 MB

9. Line Plots with Dataframe.srt

4.9 KB

/14. Module 14 Time Series/

1. Date and time Data types.mp4

21.2 MB

1. Date and time Data types.srt

4.6 KB

2. Converting Between String and Datetime.mp4

27.1 MB

2. Converting Between String and Datetime.srt

5.5 KB

3. Basics of Time Series.mp4

34.4 MB

3. Basics of Time Series.srt

7.6 KB

4. Generating Date Ranges.mp4

30.9 MB

4. Generating Date Ranges.srt

4.7 KB

5. Shifting Data Through Time (Lagging and Leading).mp4

34.8 MB

5. Shifting Data Through Time (Lagging and Leading).srt

6.8 KB

6. Handling Time Zone.mp4

35.1 MB

6. Handling Time Zone.srt

5.8 KB

7. Resampling and Frequency Conversion.mp4

24.2 MB

7. Resampling and Frequency Conversion.srt

5.6 KB

8. Rolling and Moving Windows.mp4

31.2 MB

8. Rolling and Moving Windows.srt

6.9 KB

9. Short Quiz.html

0.2 KB

/15. Module 15 Real World Data Analysis Example/

1. Housing Dataset Analysis -Part One.mp4

11.3 MB

1. Housing Dataset Analysis -Part One.srt

4.3 KB

2. Housing Dataset Analysis -Part Two.mp4

24.4 MB

2. Housing Dataset Analysis -Part Two.srt

4.3 KB

3. Housing Dataset Analysis -Part Three.mp4

31.2 MB

3. Housing Dataset Analysis -Part Three.srt

4.6 KB

4. Housing Dataset Analysis -Part Four.mp4

33.5 MB

4. Housing Dataset Analysis -Part Four.srt

6.4 KB

5. Housing Dataset Analysis -Part Five.mp4

41.9 MB

5. Housing Dataset Analysis -Part Five.srt

8.9 KB

/2. Module 2 Setting Python Environment/

1. Decide Which Python Environment to Use.mp4

12.6 MB

1. Decide Which Python Environment to Use.srt

4.3 KB

2. Local environment Installing Anaconda.mp4

11.0 MB

2. Local environment Installing Anaconda.srt

4.3 KB

3. Cloud Environment Google Colab Jupyter Notebooks.mp4

21.1 MB

3. Cloud Environment Google Colab Jupyter Notebooks.srt

5.4 KB

/3. Module 3 Working with Jupyter Notebooks/

1. Running Jupyter Notebook.mp4

30.2 MB

1. Running Jupyter Notebook.srt

6.0 KB

2. Tour In Basics of Jupyter Notebooks.mp4

28.2 MB

2. Tour In Basics of Jupyter Notebooks.srt

7.2 KB

3. Cell Types in Jupyter Notebook.mp4

15.8 MB

3. Cell Types in Jupyter Notebook.srt

4.2 KB

4. Getting Help in Jupyter Notebook.mp4

16.3 MB

4. Getting Help in Jupyter Notebook.srt

4.6 KB

5. Magic Commands.mp4

24.5 MB

5. Magic Commands.srt

4.3 KB

/4. Module 4 Data Structures And Sequences In Python/

1. Tuple.mp4

20.8 MB

1. Tuple.srt

5.1 KB

2. List.mp4

38.1 MB

2. List.srt

9.4 KB

3. Dictionary.mp4

15.5 MB

3. Dictionary.srt

3.4 KB

4. Set.mp4

4.7 MB

4. Set.srt

2.4 KB

5. Short Quiz.html

0.2 KB

GetFreeCourses.Co.url

0.1 KB

/5. Module 5 Functions in Python/

1. Creating and Calling Functions.mp4

24.9 MB

1. Creating and Calling Functions.srt

6.4 KB

2. Returning Multiple Values.mp4

9.8 MB

2. Returning Multiple Values.srt

2.3 KB

3. Lambda Functions.mp4

16.0 MB

3. Lambda Functions.srt

3.9 KB

4. Short Quiz.html

0.2 KB

/6. Module 6 NumPy Arrays/

1. What Is NumPy Arrays (Ndarrays).mp4

12.1 MB

1. What Is NumPy Arrays (Ndarrays).srt

2.9 KB

10. Mathematical and Statistical Methods.mp4

37.1 MB

10. Mathematical and Statistical Methods.srt

6.8 KB

11. Sorting Arrays.mp4

22.2 MB

11. Sorting Arrays.srt

3.6 KB

12. File Input and Output with Arrays.mp4

16.4 MB

12. File Input and Output with Arrays.srt

3.3 KB

13. Short Quiz.html

0.2 KB

2. Creating Ndarrays.mp4

32.7 MB

2. Creating Ndarrays.srt

7.6 KB

3. Data Types for Ndarrays.mp4

21.6 MB

3. Data Types for Ndarrays.srt

5.0 KB

4. Arithmetic with NumPy Arrays.mp4

13.5 MB

4. Arithmetic with NumPy Arrays.srt

3.2 KB

5. Indexing and Slicing-Part One.mp4

18.7 MB

5. Indexing and Slicing-Part One.srt

4.3 KB

6. Indexing and Slicing-Part two.mp4

20.8 MB

6. Indexing and Slicing-Part two.srt

4.8 KB

7. Boolean Indexing.mp4

29.5 MB

7. Boolean Indexing.srt

6.2 KB

8. Fancy Indexing.mp4

18.9 MB

8. Fancy Indexing.srt

4.4 KB

9. Transposing Arrays.mp4

9.4 MB

9. Transposing Arrays.srt

2.0 KB

/7. Module 7 Pandas Dataframe/

1. Series in Pandas.mp4

25.8 MB

1. Series in Pandas.srt

6.0 KB

10. Correlation and Covariance.mp4

19.7 MB

10. Correlation and Covariance.srt

4.2 KB

11. Short Quiz.html

0.2 KB

2. Dataframe in Pandas.mp4

35.6 MB

2. Dataframe in Pandas.srt

7.9 KB

3. Index Objects.mp4

19.7 MB

3. Index Objects.srt

4.1 KB

4. Reindexing in Series and DataFrames.mp4

14.1 MB

4. Reindexing in Series and DataFrames.srt

3.0 KB

5. Deleting Rows and Columns.mp4

5.7 MB

5. Deleting Rows and Columns.srt

3.3 KB

6. Indexing, Slicing and Filtering.mp4

26.6 MB

6. Indexing, Slicing and Filtering.srt

6.3 KB

7. Arithmetic with Dataframe.mp4

23.2 MB

7. Arithmetic with Dataframe.srt

5.1 KB

8. Sorting Series and Dataframe.mp4

21.3 MB

8. Sorting Series and Dataframe.srt

4.5 KB

9. Descriptive Statistics with Dataframe.mp4

21.3 MB

9. Descriptive Statistics with Dataframe.srt

4.8 KB

GetFreeCourses.Co.url

0.1 KB

How you can help GetFreeCourses.Co.txt

0.2 KB

/8. Module 8 Data Loading, Storage with Pandas/

1. Reading Data in Text Format-Part1.mp4

23.4 MB

1. Reading Data in Text Format-Part1.srt

5.9 KB

2. Reading Data in Text Format-Part2.mp4

22.7 MB

2. Reading Data in Text Format-Part2.srt

4.4 KB

3. Writing Data in Text Format.mp4

22.9 MB

3. Writing Data in Text Format.srt

4.3 KB

4. Reading Microsoft Excel Files.mp4

12.8 MB

4. Reading Microsoft Excel Files.srt

2.5 KB

5. Short Quiz.html

0.2 KB

/9. Module 9 Data Cleaning and Preprocessing/

1. Handling Missing Data.mp4

13.9 MB

1. Handling Missing Data.srt

3.5 KB

10. String Object Methods.mp4

21.7 MB

10. String Object Methods.srt

5.0 KB

11. Short Quiz.html

0.2 KB

2. Filtering out Missing Data.mp4

21.3 MB

2. Filtering out Missing Data.srt

4.4 KB

3. Filling in Missing Data.mp4

22.3 MB

3. Filling in Missing Data.srt

4.6 KB

4. Removing Duplicate Entries.mp4

13.3 MB

4. Removing Duplicate Entries.srt

2.7 KB

5. Replacing Values.mp4

14.2 MB

5. Replacing Values.srt

3.6 KB

6. Renaming columns and Index Labels.mp4

11.7 MB

6. Renaming columns and Index Labels.srt

2.8 KB

7. Filtering Outliers.mp4

23.5 MB

7. Filtering Outliers.srt

5.0 KB

8. Shuffling and Random Sampling.mp4

21.9 MB

8. Shuffling and Random Sampling.srt

4.2 KB

9. Dummy Variables.mp4

16.5 MB

9. Dummy Variables.srt

4.0 KB

/

Download Paid Udemy Courses For Free.url

0.1 KB

GetFreeCourses.Co.url

0.1 KB

How you can help GetFreeCourses.Co.txt

0.2 KB

 

Total files 200


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