Python Data Science Handbook: full text in Jupyter Notebooks

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

💿 Free software that works great, and also happens to be open-source Python.

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Self hosted alternative to Google Photos

PyCon 2015 Pandas tutorial materials

DCGAN image generator 🖼️.

The project involves training a machine learning model (K Neighbors Classifier) to predict whether someone is suffering from a heart disease with 87% accuracy.

Course materials for teaching data visualization in Python.

Tensorflow 2 Tutorials (use tensorflow and keras in a better way!)

This repository contains my various pet projects done on machine Learning and Deep learning.Some of them can be found on

Matplotlib 2.x By Example, published by Packt

Build a model that estimates the cost of the premium.

use seq2seq to implement simple arithmetic operation

Using sequence-to-sequence neural network for computing.