awesome-machine-learning-jupyter-notebooks-for-colab

A curated list of Machine Learning and Deep Learning Jupyter Notebooks ready to run in Google Colaboratory. You can find the credits for the authors in the header of each Jupyter Notebook.

Artificial IntelligenceI

Supervised Learning plots

Unsupervised Learning plots

Machine Learning Basic concepts 1 & 2 & 3 & 4

Linear Regression 1 & 2 & 3

Decision Trees 1

Random Forest 1 & 2 & 3 & 4

Naive Bayes 1 & 2

k-Nearest Neighbor 1 & 2

k-Means 1 & 2 & 3

Support Vector Machines 1

Logistic Regression 1 & 2 & 3

Perceptron 1

Machine Learning Overview 1

Principal Component Analysis 1 & 2

Topic modeling 1

GPU testing 1

Artificial Neural Networks from scratch 1

ANN Activation functions 1

ANN Loss functions 1

ANN Gradients 1 & 2

ANN Optimizers 1

ANN Decision Boundaries 1

ANN Overfitting 1 & 2

ANN Regularization 1

Multi-Layer Perceptron 1 & 2 & 3 & 4 & 5

Convolutional Neural Networks 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9

CNN from scratch 1

Data Augmentation 1 & 2 & 3

Recurrent Neural Networks 1 & 2 & 3 & 4 & 5

Autoencoders 1

Generative Adversarial Networks 1 & 2 & 3 & 4 & 5

Ensembles 1 & 2

AutoML 1 & 2 & 3

Reinforcement Learning 1 & 2 & 3