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Introduction
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Classroom Contents
Scikit-Learn Course - Machine Learning in Python Tutorial
Automatically move to the next video in the Classroom when playback concludes
- 1 Introduction
- 2 Installing SKlearn
- 3 Plot a Graph
- 4 Features and Labels_1
- 5 Save and Open a Model
- 6 Classification
- 7 Train Test Split
- 8 What is KNN
- 9 KNN Example
- 10 SVM Explained
- 11 SVM Example
- 12 Linear regression
- 13 Logistic vs linear regression
- 14 Kmeans and the math beind it
- 15 KMeans Example
- 16 Neural Network
- 17 Overfitting and Underfitting
- 18 Backpropagation
- 19 Cost Function and Gradient Descent
- 20 CNN
- 21 Handwritten Digits Recognizer
