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2015

Public material for CS109

2015lab1

2015lab3

2015lab4

Lab for Linear and Logistic Regression, SciKit Learn

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

code_snippets

complete-seaborn-crash-course

This is complete course of Seaborn.

conky

customer-engagement-enhancement-in-bfsi-industry

dat8

General Assembly's 2015 Data Science course in Washington, DC

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

dlvcnptel

Tutorials for DLVC NPTEL MOOC

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

i-neuron-projects-ai-ml

All Project That done during i-nueron AI ML course

machine-learning-algorithms

Machine Learning Algorithms, published by Packt

mastering-machine-learning-algorithms

Mastering Machine Learning Algorithms, published by Packt

matplotlib-3.0-cookbook

Matplotlib 3.0 Cookbook, published by Packt

ml

Machine Learning Projects and Learning Content

models

Models and examples built with TensorFlow

mtcnn

MTCNN face detection implementation for TensorFlow, as a PIP package.

peanut

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

rdatasets

A collection of datasets originally distributed in R packages

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

the-elements-of-statistical-learning-notebooks

Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman

the-elements-of-statistical-learning-python-notebooks

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book