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[GigaCourse.Com] Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn
magnet:?xt=urn:btih:b56a243ba5400a977d14750155fa2399cc82acd7&dn=[GigaCourse.Com] Udemy - Python Bootcamp for Data Science 2021 Numpy Pandas & Seaborn
磁力链接详情
Hash值:
b56a243ba5400a977d14750155fa2399cc82acd7
点击数:
151
文件大小:
1.95 GB
文件数量:
91
创建日期:
2022-4-9 02:49
最后访问:
2024-7-15 18:59
访问标签:
GigaCourse
Com
Udemy
-
Python
Bootcamp
for
Data
Science
2021
Numpy
Pandas
&
Seaborn
文件列表详情
1. Introduction/1. Course Introduction.mp4 13.9 MB
1. Introduction/2. How to Download Course Notebooks.mp4 38.09 MB
1. Introduction/3. Overview of Course Curriculum.mp4 27.1 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 31.22 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/2. Reordering and Sorting Index Levels.mp4 14.28 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/3. Summary Statistics by Level.mp4 17.25 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/4. Indexing with Columns in Dataframe.mp4 23.09 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 36.89 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/2. Merging Datasets on Index.mp4 15.02 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 30.11 MB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/1. Reshaping by Stacking and Unstacking.mp4 26.47 MB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/2. Reshaping by Melting (Wide to Long ).mp4 9.47 MB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 28.92 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/1. Introducing Matplotlib Library.mp4 11.48 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/10. Bar Plots with Dataframes.mp4 20.59 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/11. Bar Plots with Seaborn.mp4 25.69 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/12. Histograms and Density Plots.mp4 27.78 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 35.78 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/14. Factor Plots for Categorical Data.mp4 27.32 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 31.23 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/3. Changing Colors, Markers and Linestyle.mp4 21.94 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/4. Customizing Ticks and Labels.mp4 28.59 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/5. Adding Legends.mp4 24.61 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/6. Adding Texts and Arrows on a Plot.mp4 23.44 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 31.52 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/8. Saving Plots to a File.mp4 18.15 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/9. Line Plots with Dataframe.mp4 26.72 MB
14. Module 14 Time Series/1. Date and time Data types.mp4 20.25 MB
14. Module 14 Time Series/2. Converting Between String and Datetime.mp4 25.86 MB
14. Module 14 Time Series/3. Basics of Time Series.mp4 32.79 MB
14. Module 14 Time Series/4. Generating Date Ranges.mp4 29.46 MB
14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 33.18 MB
14. Module 14 Time Series/6. Handling Time Zone.mp4 33.46 MB
14. Module 14 Time Series/7. Resampling and Frequency Conversion.mp4 23.09 MB
14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 29.77 MB
15. Module 15 Real World Data Analysis Example/1. Housing Dataset Analysis -Part One.mp4 10.77 MB
15. Module 15 Real World Data Analysis Example/2. Housing Dataset Analysis -Part Two.mp4 23.29 MB
15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 29.73 MB
15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 31.95 MB
15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 39.98 MB
2. Module 2 Setting Python Environment/1. Decide Which Python Environment to Use.mp4 11.98 MB
2. Module 2 Setting Python Environment/2. Local environment Installing Anaconda.mp4 10.44 MB
2. Module 2 Setting Python Environment/3. Cloud Environment Google Colab Jupyter Notebooks.mp4 20.16 MB
3. Module 3 Working with Jupyter Notebooks/1. Running Jupyter Notebook.mp4 28.76 MB
3. Module 3 Working with Jupyter Notebooks/2. Tour In Basics of Jupyter Notebooks.mp4 26.87 MB
3. Module 3 Working with Jupyter Notebooks/3. Cell Types in Jupyter Notebook.mp4 15.07 MB
3. Module 3 Working with Jupyter Notebooks/4. Getting Help in Jupyter Notebook.mp4 15.56 MB
3. Module 3 Working with Jupyter Notebooks/5. Magic Commands.mp4 23.38 MB
4. Module 4 Data Structures And Sequences In Python/1. Tuple.mp4 19.83 MB
4. Module 4 Data Structures And Sequences In Python/2. List.mp4 36.37 MB
4. Module 4 Data Structures And Sequences In Python/3. Dictionary.mp4 14.79 MB
4. Module 4 Data Structures And Sequences In Python/4. Set.mp4 4.45 MB
5. Module 5 Functions in Python/1. Creating and Calling Functions.mp4 23.74 MB
5. Module 5 Functions in Python/2. Returning Multiple Values.mp4 9.37 MB
5. Module 5 Functions in Python/3. Lambda Functions.mp4 15.28 MB
6. Module 6 NumPy Arrays/1. What Is NumPy Arrays (Ndarrays).mp4 11.54 MB
6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 35.39 MB
6. Module 6 NumPy Arrays/11. Sorting Arrays.mp4 21.21 MB
6. Module 6 NumPy Arrays/12. File Input and Output with Arrays.mp4 15.64 MB
6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 31.22 MB
6. Module 6 NumPy Arrays/3. Data Types for Ndarrays.mp4 20.62 MB
6. Module 6 NumPy Arrays/4. Arithmetic with NumPy Arrays.mp4 12.88 MB
6. Module 6 NumPy Arrays/5. Indexing and Slicing-Part One.mp4 17.84 MB
6. Module 6 NumPy Arrays/6. Indexing and Slicing-Part two.mp4 19.82 MB
6. Module 6 NumPy Arrays/7. Boolean Indexing.mp4 28.16 MB
6. Module 6 NumPy Arrays/8. Fancy Indexing.mp4 17.99 MB
6. Module 6 NumPy Arrays/9. Transposing Arrays.mp4 8.93 MB
7. Module 7 Pandas Dataframe/1. Series in Pandas.mp4 24.61 MB
7. Module 7 Pandas Dataframe/10. Correlation and Covariance.mp4 18.75 MB
7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 33.96 MB
7. Module 7 Pandas Dataframe/3. Index Objects.mp4 18.78 MB
7. Module 7 Pandas Dataframe/4. Reindexing in Series and DataFrames.mp4 13.4 MB
7. Module 7 Pandas Dataframe/5. Deleting Rows and Columns.mp4 5.4 MB
7. Module 7 Pandas Dataframe/6. Indexing, Slicing and Filtering.mp4 25.33 MB
7. Module 7 Pandas Dataframe/7. Arithmetic with Dataframe.mp4 22.14 MB
7. Module 7 Pandas Dataframe/8. Sorting Series and Dataframe.mp4 20.27 MB
7. Module 7 Pandas Dataframe/9. Descriptive Statistics with Dataframe.mp4 20.32 MB
8. Module 8 Data Loading, Storage with Pandas/1. Reading Data in Text Format-Part1.mp4 22.34 MB
8. Module 8 Data Loading, Storage with Pandas/2. Reading Data in Text Format-Part2.mp4 21.65 MB
8. Module 8 Data Loading, Storage with Pandas/3. Writing Data in Text Format.mp4 21.88 MB
8. Module 8 Data Loading, Storage with Pandas/4. Reading Microsoft Excel Files.mp4 12.18 MB
9. Module 9 Data Cleaning and Preprocessing/1. Handling Missing Data.mp4 13.21 MB
9. Module 9 Data Cleaning and Preprocessing/10. String Object Methods.mp4 20.68 MB
9. Module 9 Data Cleaning and Preprocessing/2. Filtering out Missing Data.mp4 20.28 MB
9. Module 9 Data Cleaning and Preprocessing/3. Filling in Missing Data.mp4 21.28 MB
9. Module 9 Data Cleaning and Preprocessing/4. Removing Duplicate Entries.mp4 12.67 MB
9. Module 9 Data Cleaning and Preprocessing/5. Replacing Values.mp4 13.52 MB
9. Module 9 Data Cleaning and Preprocessing/6. Renaming columns and Index Labels.mp4 11.19 MB
9. Module 9 Data Cleaning and Preprocessing/7. Filtering Outliers.mp4 22.44 MB
9. Module 9 Data Cleaning and Preprocessing/8. Shuffling and Random Sampling.mp4 20.9 MB
9. Module 9 Data Cleaning and Preprocessing/9. Dummy Variables.mp4 15.74 MB
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