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[ FreeCourseWeb com ] Udemy - 2021 Master Class - Machine Learning Using Google Cloud (updated)
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Get Bonus Downloads Here.url (Size: 1.52 GB) (Files: 42)
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1. Introduction
1. Introduction.mp4
2. Introduction to Colab Google Cloud Development Environment.mp4
10. How to go about an ML project
1. How to go about an ML project.mp4
12. Exploratory Data Analysis (EDA) for Machine Learning
1. What is EDA.mp4
2. Understanding the data.mp4
3. Univariate Analysis.mp4
4. Bivariate Analysis and Multi Collinearity.mp4
5. Missing Values.mp4
6. Outliers.mp4
7. Variable Transformation.mp4
13. Python Programming
1. Getting Started with Python.mp4
10. Set.mp4
11. Dictionary.mp4
12. Getting Started with NumPy.mp4
13. NumPy Shape in Arrays.mp4
14. NumPy Iterating Arrays.mp4
15. NumPy Joining Arrays.mp4
16. NumPy Splitting Arrays.mp4
17. NumPy Searching and Sorting Arrays.mp4
18. Getting Started with Pandas.mp4
19. Pandas Dataframe.mp4
2. Variables.mp4
20. Pandas Descriptive Statistics.mp4
21. Pandas Sorting, Slicing, Flipping, Grouping Data.mp4
22. Data Visualization using Matplotlib.mp4
3. Operators.mp4
4. Conditions.mp4
5. Loops.mp4
6. Functions.mp4
7. Arrays.mp4
8. List.mp4
9. Tuple.mp4
2. ML Concepts
1. ML Concepts.mp4
3. Introduction to Colab Google Cloud Development Environment
1. Introduction to Colab Google Cloud Development Environment.mp4
4. Simple Linear Regression 1
1. Simple Linear Regression 1.mp4
5. Simple Linear Regression 2
1. Simple Linear Regression 2.mp4
6. Multiple Linear Regression
1. Multiple Linear Regression.mp4
7. Logistic Regression
1. Logistic Regression.mp4
8. Decision Tree, Random Forest and XGBoost
1. Decision Tree, Random Forest and XGBoost.mp4
9. Unsupervised Learning
1. Unsupervised Learning.mp4
Bonus Resources.txt
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