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⌨️ Introduction
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Classroom Contents
Machine Learning with Python and Scikit-Learn – Full Course
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- 1 ⌨️ Introduction
- 2 ⌨️ Lesson 1 - Linear Regression and Gradient Descent
- 3 ⌨️ Lesson 2 - Logistic Regression for Classification
- 4 ⌨️ Lesson 3 - Decision Trees and Random Forests
- 5 ⌨️ Lesson 4 - How to Approach Machine Learning Projects
- 6 ⌨️ Lesson 5 - Gradient Boosting Machines with XGBoost
- 7 ⌨️ Lesson 6 - Unsupervised Learning using Scikit-Learn
- 8 ⌨️ Lesson 7 - Machine Learning Project from Scratch
- 9 ⌨️ Lesson 8 - Deploying a Machine Learning Project with Flask
