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Chapter 6 Machine Learning Basics/003. Classification in Code.mp4 84.9 MB
Chapter 3 Matplotlib/007. Where to Learn More Matplotlib.mp4 55.8 MB
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Chapter 2 NumPy/007. Generating Data.mp4 50.1 MB
Chapter 1 Welcome and Logistics/001. Introduction and Outline.mp4 45.3 MB
Chapter 2 NumPy/005. Matrices.mp4 44.8 MB
Chapter 6 Machine Learning Basics/005. Regression in Code.mp4 43.5 MB
Chapter 6 Machine Learning Basics/009. Comparing Different Machine Learning Models.mp4 39.9 MB
Chapter 2 NumPy/002. Arrays Versus Lists.mp4 39.8 MB
Chapter 6 Machine Learning Basics/004. What Is Regression.mp4 39.7 MB
Chapter 4 Pandas/003. Selecting Rows and Columns.mp4 35.6 MB
Chapter 6 Machine Learning Basics/001. Machine Learning Section Introduction.mp4 35.2 MB
Chapter 6 Machine Learning Basics/010. Machine Learning and Deep Learning Future Topics.mp4 32.7 MB
Chapter 2 NumPy/009. Where to Learn More NumPy.mp4 32.7 MB
Chapter 5 SciPy/005. Where to Learn More SciPy.mp4 29.7 MB
Chapter 3 Matplotlib/005. Plotting Images.mp4 29.1 MB
Chapter 6 Machine Learning Basics/006. What Is a Feature Vector.mp4 29.0 MB
Chapter 2 NumPy/003. Dot Product.mp4 22.4 MB
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8. PROJECT #3 Analyzing Used Car Sales/2. Project #3 Solution Walkthrough.mp4 168.0 MB
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7. Visualization with Seaborn/9. Linear Relationship Charts.mp4 61.3 MB
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~Get Your Files Here !/2. Understand Matplotlib/4. A Universal Approach for Working with Data.mp4 3.9 MB
~Get Your Files Here !/3. Create Real-world Data Visualizations/3. Getting the Data We Need.mp4 3.3 MB
~Get Your Files Here !/2. Understand Matplotlib/1. A Quick Intro to Matplotlib.mp4 2.8 MB
~Get Your Files Here !/1. Understand Data Visualization/5. Demo - Chart Types.mp4 2.6 MB
~Get Your Files Here !/3. Create Real-world Data Visualizations/1. Different Types of Chart Adornments.mp4 1.9 MB
~Get Your Files Here !/2. Understand Matplotlib/3. Demo - Unpacking Our Interpolation Code.vtt 8.7 kB
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~Get Your Files Here !/3. Create Real-world Data Visualizations/6. Demo - Creating Your Dashboard.vtt 7.0 kB
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3 - Python Basics/19 - Operators.mp4 100.6 MB
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6 - Methoden und Funktionen/35 - Funktionen mit mehreren Parametern 1.mp4 97.7 MB
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3 - Python Basics/18 - Strings.mp4 87.0 MB
6 - Methoden und Funktionen/32 - Globale und lokale Variablen.mp4 82.6 MB
6 - Methoden und Funktionen/44 - Rekursive Funktion.mp4 80.9 MB
6 - Methoden und Funktionen/43 - call by value und call by name.mp4 74.0 MB
7 - NumPy/46 - Lists vs Arrays.mp4 70.3 MB
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8 - Pandas/54 - autos-full.csv 68.4 MB
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2. Working with the Matplotlib and Pyplot APIs/10. Figures and Axes.mp4 21.5 MB
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02 Numpy & Pandas for Data Science/001 Numpy & Pandas _ Part 1.mp4 968.9 MB
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