Udemy - Machine Learning Journey

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[ DevCourseWeb.com ] Udemy - Machine Learning Journey
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Data Pre-Processing
    • 1. ML Environment Setup Anaconda.mp4 (86.4 MB)
    • 1. ML Environment Setup Anaconda.srt (12.9 KB)
    • 1.1 Download Anaconda.html (0.1 KB)
    • 10. Step 6 Feature Scaling.mp4 (164.1 MB)
    • 10. Step 6 Feature Scaling.srt (22.8 KB)
    • 11. Refresher Object Oriented Programming in Python.mp4 (146.0 MB)
    • 11. Refresher Object Oriented Programming in Python.srt (12.9 KB)
    • 2. ML Environment Setup VSCode.mp4 (29.9 MB)
    • 2. ML Environment Setup VSCode.srt (5.4 KB)
    • 2.1 Download VS Code.html (0.1 KB)
    • 3. ML Environment Setup VSCode Themes.mp4 (44.2 MB)
    • 3. ML Environment Setup VSCode Themes.srt (6.3 KB)
    • 3.1 Download VS Code Material Icon Theme.html (0.1 KB)
    • 3.2 Download VS Code Material Theme.html (0.1 KB)
    • 4. ML Environment Setup VSCode + Jupyter Notebooks!.mp4 (20.9 MB)
    • 4. ML Environment Setup VSCode + Jupyter Notebooks!.srt (3.6 KB)
    • 4.1 Download VS Code Python + Jupyter Extension.html (0.1 KB)
    • 5. Step 1 Importing Machine Learning Libraries.mp4 (41.4 MB)
    • 5. Step 1 Importing Machine Learning Libraries.srt (10.4 KB)
    • 6. Step 2 Importing your Data.mp4 (154.5 MB)
    • 6. Step 2 Importing your Data.srt (25.7 KB)
    • 6.1 data.csv (0.2 KB)
    • 7. Step 3 Managing Missing Data.mp4 (114.2 MB)
    • 7. Step 3 Managing Missing Data.srt (17.1 KB)
    • 8. Step 4 Encoding Categorical Data.mp4 (169.1 MB)
    • 8. Step 4 Encoding Categorical Data.srt (26.2 KB)
    • 9. Step 5 Splitting the Data.mp4 (138.8 MB)
    • 9. Step 5 Splitting the Data.srt (19.6 KB)
    2. Simple Linear Regression
    • 1. Step 1 Intuition.mp4 (244.9 MB)
    • 1. Step 1 Intuition.srt (29.4 KB)
    • 2. Step 2 Library Import.mp4 (61.6 MB)
    • 2. Step 2 Library Import.srt (9.4 KB)
    • 2.1 Kaggle Simple Linear Regression Dataset.html (0.1 KB)
    • 3. Step 3 Data Import.mp4 (48.4 MB)
    • 3. Step 3 Data Import.srt (9.9 KB)
    • 4. Step 4 Data Split.mp4 (35.9 MB)
    • 4. Step 4 Data Split.srt (7.0 KB)
    • 5. Step 5 Model Training.mp4 (70.4 MB)
    • 5. Step 5 Model Training.srt (13.4 KB)
    • 6. Step 6 Data Visualization.mp4 (79.0 MB)
    • 6. Step 6 Data Visualization.srt (12.5 KB)
    • 7. Step 7 Equation Intuition.mp4 (32.2 MB)
    • 7. Step 7 Equation Intuition.srt (5.2 KB)
    3. Multiple Linear Regression
    • 1. Step 1a Intuition.mp4 (87.7 MB)
    • 1. Step 1a Intuition.srt (12.6 KB)
    • 2. Step 1b More Intuition.mp4 (98.1 MB)
    • 2. Step 1b More Intuition.srt (11.5 KB)
    • 2.1 Kaggle Multiple Linear Regression Dataset.html (0.1 KB)
    • 3. Step 2 Library Import.mp4 (33.4 MB)
    • 3. Step 2 Library Import.srt (5.2 KB)
    • 4. Step 3 Data Import.mp4 (94.0 MB)
    • 4. Step 3 Data Import.srt (17.8 KB)
    • 5. Step 4 Categorical Encoding.mp4 (148.3 MB)
    • 5. Step 4 Categorical Encoding.srt (19.1 KB)
    • 6. Step 5 Data Split.mp4 (50.5 MB)
    • 6. Step 5 Data Split.srt (9.6 KB)
    • 7. Step 6 Model Training.mp4 (30.1 MB)
    • 7. Step 6 Model Training.srt (4.2 KB)
    • 8. Step 7 Making Predictions!.mp4 (109.8 MB)
    • 8. Step 7 Making Predictions!.srt (19.1 KB)
    4. Polynomial Linear Regression
    • 1. Step 1 Intuition.mp4 (102.4 MB)
    • 1. Step 1 Intuition.srt (8.7 KB)
    • 2. Step 2 Problem Set.mp4 (72.2 MB)
    • 2. Step 2 Problem Set.srt (9.3 KB)
    • 2.1 Kaggle Polynomial Regression Dataset.html (0.1 KB)
    • 3. Step 3 Library Import.mp4 (21.8 MB)
    • 3. Step 3 Library Import.srt (4.1 KB)
    • 4. Step 4 Data Import.mp4 (39.8 MB)
    • 4. Step 4 Data Import.srt (5.8 KB)
    • 5. Step 5 Model Training.mp4 (62.2 MB)
    • 5. Step 5 Model Training.srt (9.6 KB)
    • 6. Step 6 Visualizing Results.mp4 (113.3 MB)
    • 6. Step 6 Visualizing Results.srt (18.4 KB)
    • 7. Step 7 Making Predictions.mp4 (39.6 MB)
    • 7. Step 7 Making Predictions.srt (7.8 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Machine Learning Journey



https://DevCourseWeb.com

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.71 GB | Duration: 5h 0m

How to use Python 3, Jupyter Notebooks and Visual Studio Code to solve business problems with Machine Learning Models.

What you'll learn
How to use Python, Visual Studio Code and Jupyter Notebooks to code Machine Learning models
How to intuitively understand Machine Learning models
How to know your model is making accurate predictions
How to apply Machine Learning models to real work business situations

Description
What does Siri, Alexa and Google Play have in common?



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leechers:16
Udemy - Machine Learning Journey

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2.7 GB
seeders:2
leechers:16
Udemy - Machine Learning Journey

Torrent hash: 7DBB4246F39C619771E0C1AD40C4E53CFFBC3EBE