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- 02. First Steps/02_03-Quick Exploratory Data Analysis Example.mp4 87.6 MB
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- 02. First Steps/02_02-Installing Matplotlib.mp4 73.7 MB
- 07. Maps In Matplotlib/07_04-Creating A Dot Density Map.mp4 69.7 MB
- 06. Interactivity/06_03-Refining An ipywidgets Interface.mp4 68.0 MB
- 04. Under The Hood/04_03-How pyplot Works.mp4 64.4 MB
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- 06. Interactivity/06_01-Event Handling.mp4 60.4 MB
- 03. pyplot/03_03-More Plotting.mp4 58.2 MB
- Working Files/Matplotlib_for_Developers_Working_Files.zip 55.7 MB
- 08. The Matplotlib Ecosystem/08_02-Pandas.mp4 48.7 MB
- 03. pyplot/03_02-The Plot Function.mp4 47.7 MB
- 03. pyplot/03_01-Introduction To pyplot.mp4 44.3 MB
- 05. Configuring Matplotlib/05_03-Custom Style Sheets.mp4 43.6 MB
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- 2. More Plots/1. Bar Chart.mp4 43.2 MB
- 3. Advanced Plotting/1. Themes.mp4 40.4 MB
- 3. Advanced Plotting/2. Scatterplot.mp4 32.6 MB
- 1. Introduction/5. Fill Plot.mp4 27.0 MB
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- 3. Advanced Plotting/4. 3d plot.vtt 2.6 kB
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- 18. Python and MySQL/2. Getting Started with MySQL and SQL Workbench.mp4 182.1 MB
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- Data Visualization with Python and Matplotlib/03 Basic Customization Options/015 Annotating a specific plot.mp4 55.8 MB
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- Data Visualization with Python and Matplotlib/03 Basic Customization Options/003 Parsing stock prices from the internet.mp4 53.5 MB
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- Data Visualization with Python and Matplotlib/03 Basic Customization Options/016 Dynamic annotation of last price.mp4 48.4 MB
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- Data Visualization with Python and Matplotlib/03 Basic Customization Options/017 Section Outro.mp4 46.8 MB
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- Data Visualization with Python and Matplotlib/04 Advanced Customization Options/004 Incorporating changes to candlestick graph.mp4 45.8 MB
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- Matplotlib Tutorial- Plotting using Python's visualization tool/1. Introduction/1. Introduction to Data Visualization and Matplotlib.mp4 77.8 MB
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- Matplotlib Tutorial- Plotting using Python's visualization tool/7. Subplots/5. Ticks customization.mp4 65.7 MB
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- Matplotlib Tutorial- Plotting using Python's visualization tool/3. Bar Chart/1. Bar Chart.mp4 55.4 MB
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- Matplotlib Tutorial- Plotting using Python's visualization tool/7. Subplots/2. Creating subplots - subplot method.mp4 41.7 MB
- Matplotlib Tutorial- Plotting using Python's visualization tool/5. Histogram/1. Frequency Distribution and Histogram.mp4 40.1 MB
- Matplotlib Tutorial- Plotting using Python's visualization tool/6. Scatter Plot/2. Analysing the Iris dataset using Scatter Plots.mp4 36.4 MB
- Matplotlib Tutorial- Plotting using Python's visualization tool/2. Line Plots/5. Customizing Plot elements.mp4 34.7 MB
- Matplotlib Tutorial- Plotting using Python's visualization tool/2. Line Plots/4. Legend.mp4 32.9 MB
- Matplotlib Tutorial- Plotting using Python's visualization tool/2. Line Plots/3. Line Properties.mp4 30.8 MB
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- 02 Numpy & Pandas for Data Science/001 Numpy & Pandas _ Part 1.mp4 968.9 MB
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- 03 Data Visualization/004 Data Visualization.ipynb 169.3 kB
- 03 Data Visualization/004 titanic_train.csv 60.3 kB
- 03 Data Visualization/004 state_wise_daily_covid.csv 30.0 kB
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- 01 Python Crash Course/001 Python Crash Course.mp4 1.7 GB
- 02 Numpy & Pandas for Data Science/001 Numpy & Pandas _ Part 1.mp4 968.9 MB
- 02 Numpy & Pandas for Data Science/002 Numpy & Pandas _ Part 2.mp4 841.5 MB
- 03 Data Visualization/001 Data Visualizaton _ Part 1.mp4 633.9 MB
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- 03 Data Visualization/004 Data Visualization.ipynb 169.3 kB
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- 02 Numpy & Pandas for Data Science/003 iris.csv 5.1 kB
- 02 Numpy & Pandas for Data Science/003 IrisClassification.py 1.1 kB
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- 11 Machine Learning/015 Choosing the right algorithm and model.mp4 156.2 MB
- 05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 117.6 MB
- 08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 109.5 MB
- 07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 108.6 MB
- 16 Projects/001 Project - 1.mp4 106.5 MB
- 09 Seaborn/005 Basic Plots in Seaborn.mp4 97.3 MB
- 11 Machine Learning/012 Unsupervised Machine Learning Methods.mp4 92.2 MB
- 15 Transfer Learning/001 What is Transfer Learning.mp4 89.5 MB
- 07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 88.3 MB
- 11 Machine Learning/016 Training and testing the model.mp4 88.0 MB
- 06 Using Pandas for Data Manipulation/002 Series and Features.mp4 87.6 MB
- 16 Projects/003 Project - 3.mp4 86.3 MB
- 07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 83.6 MB
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- 05 Numpy Library/005 Numpy Functions.mp4 82.3 MB
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- [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 83.6 MB
- [TutsNode.com] - Python Machine Learning, Deep Learning, Pandas, Matplotlib/12 Artificial Neural Network/003 Creating a Simple ANN.mp4 83.3 MB
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- ~Get Your Files Here !/11. Text Rendering and Toolkits/10. Axes Artist Demo.mp4 144.0 MB
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- ~Get Your Files Here !/8. Annotations/5. Using Connection Patch.mp4 112.9 MB
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- 01 Python Crash Course/001 Python Crash Course.mp4 1.7 GB
- 02 Numpy & Pandas for Data Science/001 Numpy & Pandas _ Part 1.mp4 968.9 MB
- 02 Numpy & Pandas for Data Science/002 Numpy & Pandas _ Part 2.mp4 841.5 MB
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