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Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn
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[TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn (Size: 1.97 GB) (Files: 286)
[TutsNode.com] - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn
15. Module 15 Real World Data Analysis Example
5. Housing Dataset Analysis -Part Five.mp4
5. Housing Dataset Analysis -Part Five.srt
4. Housing Dataset Analysis -Part Four.srt
3. Housing Dataset Analysis -Part Three.srt
1. Housing Dataset Analysis -Part One.srt
2. Housing Dataset Analysis -Part Two.srt
4. Housing Dataset Analysis -Part Four.mp4
3. Housing Dataset Analysis -Part Three.mp4
2. Housing Dataset Analysis -Part Two.mp4
1. Housing Dataset Analysis -Part One.mp4
4. Module 4 Data Structures And Sequences In Python
2. List.srt
5. Short Quiz.html
4. Set.srt
1. Tuple.srt
3. Dictionary.srt
2. List.mp4
1. Tuple.mp4
3. Dictionary.mp4
4. Set.mp4
1. Introduction
2. How to Download Course Notebooks.mp4
2.1 How to download course notebooks.pdf
2. How to Download Course Notebooks.srt
3. Overview of Course Curriculum.srt
1. Course Introduction.srt
3. Overview of Course Curriculum.mp4
1. Course Introduction.mp4
11. Module 11 Data Wrangling2 Combining and Merging Datasets
1. Merging Datasets on Keys (common columns).srt
3. Concatenating Along an Axis.srt
1. Merging Datasets on Keys (common columns).mp4
2. Merging Datasets on Index.srt
4. Short Quiz.html
3. Concatenating Along an Axis.mp4
2. Merging Datasets on Index.mp4
7. Module 7 Pandas Dataframe
2. Dataframe in Pandas.srt
6. Indexing, Slicing and Filtering.srt
1. Series in Pandas.srt
7. Arithmetic with Dataframe.srt
9. Descriptive Statistics with Dataframe.srt
8. Sorting Series and Dataframe.srt
4. Reindexing in Series and DataFrames.srt
10. Correlation and Covariance.srt
3. Index Objects.srt
11. Short Quiz.html
5. Deleting Rows and Columns.srt
2. Dataframe in Pandas.mp4
6. Indexing, Slicing and Filtering.mp4
1. Series in Pandas.mp4
7. Arithmetic with Dataframe.mp4
9. Descriptive Statistics with Dataframe.mp4
8. Sorting Series and Dataframe.mp4
3. Index Objects.mp4
10. Correlation and Covariance.mp4
4. Reindexing in Series and DataFrames.mp4
5. Deleting Rows and Columns.mp4
13. Module 13 Data Visualization with Matplotlib and Seaborn
7. Adding Annotations and Drawings on a Plot.srt
2. Creating Figures and Subplots.srt
14. Factor Plots for Categorical Data.srt
11. Bar Plots with Seaborn.srt
13. Scatter Plots and Pair Plots.srt
12. Histograms and Density Plots.srt
6. Adding Texts and Arrows on a Plot.srt
4. Customizing Ticks and Labels.srt
9. Line Plots with Dataframe.srt
5. Adding Legends.srt
10. Bar Plots with Dataframes.srt
3. Changing Colors, Markers and Linestyle.srt
8. Saving Plots to a File.srt
1. Introducing Matplotlib Library.srt
15. Short Quiz.html
13. Scatter Plots and Pair Plots.mp4
7. Adding Annotations and Drawings on a Plot.mp4
2. Creating Figures and Subplots.mp4
4. Customizing Ticks and Labels.mp4
12. Histograms and Density Plots.mp4
14. Factor Plots for Categorical Data.mp4
9. Line Plots with Dataframe.mp4
11. Bar Plots with Seaborn.mp4
5. Adding Legends.mp4
6. Adding Texts and Arrows on a Plot.mp4
3. Changing Colors, Markers and Linestyle.mp4
10. Bar Plots with Dataframes.mp4
8. Saving Plots to a File.mp4
1. Introducing Matplotlib Library.mp4
6. Module 6 NumPy Arrays
2. Creating Ndarrays.srt
10. Mathematical and Statistical Methods.srt
7. Boolean Indexing.srt
1. What Is NumPy Arrays (Ndarrays).srt
3. Data Types for Ndarrays.srt
6. Indexing and Slicing-Part two.srt
9. Transposing Arrays.srt
13. Short Quiz.html
8. Fancy Indexing.srt
5. Indexing and Slicing-Part One.srt
11. Sorting Arrays.srt
12. File Input and Output with Arrays.srt
4. Arithmetic with NumPy Arrays.srt
10. Mathematical and Statistical Methods.mp4
2. Creating Ndarrays.mp4
7. Boolean Indexing.mp4
11. Sorting Arrays.mp4
3. Data Types for Ndarrays.mp4
6. Indexing and Slicing-Part two.mp4
8. Fancy Indexing.mp4
5. Indexing and Slicing-Part One.mp4
12. File Input and Output with Arrays.mp4
4. Arithmetic with NumPy Arrays.mp4
1. What Is NumPy Arrays (Ndarrays).mp4
9. Transposing Arrays.mp4
14. Module 14 Time Series
3. Basics of Time Series.srt
8. Rolling and Moving Windows.srt
5. Shifting Data Through Time (Lagging and Leading).srt
6. Handling Time Zone.srt
7. Resampling and Frequency Conversion.srt
2. Converting Between String and Datetime.srt
4. Generating Date Ranges.srt
1. Date and time Data types.srt
9. Short Quiz.html
6. Handling Time Zone.mp4
5. Shifting Data Through Time (Lagging and Leading).mp4
3. Basics of Time Series.mp4
8. Rolling and Moving Windows.mp4
4. Generating Date Ranges.mp4
2. Converting Between String and Datetime.mp4
7. Resampling and Frequency Conversion.mp4
1. Date and time Data types.mp4
3. Module 3 Working with Jupyter Notebooks
2. Tour In Basics of Jupyter Notebooks.srt
1. Running Jupyter Notebook.srt
4. Getting Help in Jupyter Notebook.srt
5. Magic Commands.srt
3. Cell Types in Jupyter Notebook.srt
1. Running Jupyter Notebook.mp4
2. Tour In Basics of Jupyter Notebooks.mp4
5. Magic Commands.mp4
4. Getting Help in Jupyter Notebook.mp4
3. Cell Types in Jupyter Notebook.mp4
10. Module 10 Data Wrangling1 Hierarchical Indexing
1. Hierarchical Indexing.srt
4. Indexing with Columns in Dataframe.srt
3. Summary Statistics by Level.srt
2. Reordering and Sorting Index Levels.srt
5. Short Quiz.html
1. Hierarchical Indexing.mp4
4. Indexing with Columns in Dataframe.mp4
3. Summary Statistics by Level.mp4
2. Reordering and Sorting Index Levels.mp4
12. Module 12 Data Wrangling3 Reshaping and Pivoting
3. Reshaping by Pivoting (Long to Wide).srt
2. Reshaping by Melting (Wide to Long ).srt
1. Reshaping by Stacking and Unstacking.srt
4. Short Quiz.html
3. Reshaping by Pivoting (Long to Wide).mp4
1. Reshaping by Stacking and Unstacking.mp4
2. Reshaping by Melting (Wide to Long ).mp4
5. Module 5 Functions in Python
1. Creating and Calling Functions.srt
2. Returning Multiple Values.srt
4. Short Quiz.html
3. Lambda Functions.srt
1. Creating and Calling Functions.mp4
3. Lambda Functions.mp4
2. Returning Multiple Values.mp4
8. Module 8 Data Loading, Storage with Pandas
1. Reading Data in Text Format-Part1.srt
2. Reading Data in Text Format-Part2.srt
3. Writing Data in Text Format.srt
5. Short Quiz.html
4. Reading Microsoft Excel Files.srt
1. Reading Data in Text Format-Part1.mp4
3. Writing Data in Text Format.mp4
2. Reading Data in Text Format-Part2.mp4
4. Reading Microsoft Excel Files.mp4
2. Module 2 Setting Python Environment
3. Cloud Environment Google Colab Jupyter Notebooks.srt
1. Decide Which Python Environment to Use.srt
2. Local environment Installing Anaconda.srt
3. Cloud Environment Google Colab Jupyter Notebooks.mp4
1. Decide Which Python Environment to Use.mp4
2. Local environment Installing Anaconda.mp4
9. Module 9 Data Cleaning and Preprocessing
7. Filtering Outliers.srt
10. String Object Methods.srt
3. Filling in Missing Data.srt
2. Filtering out Missing Data.srt
8. Shuffling and Random Sampling.srt
9. Dummy Variables.srt
5. Replacing Values.srt
11. Short Quiz.html
1. Handling Missing Data.srt
4. Removing Duplicate Entries.srt
6. Renaming columns and Index Labels.srt
7. Filtering Outliers.mp4
3. Filling in Missing Data.mp4
8. Shuffling and Random Sampling.mp4
10. String Object Methods.mp4
2. Filtering out Missing Data.mp4
9. Dummy Variables.mp4
5. Replacing Values.mp4
1. Handling Missing Data.mp4
4. Removing Duplicate Entries.mp4
6. Renaming columns and Index Labels.mp4
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