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ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml_fundamentals

Fundamentals of Machine Learning Course at DSR

mylearning

Jupyter Notebook files created for learning useful topics

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

nn-from-scratch

Implementing a Neural Network from Scratch

notes

Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

oreilly_math_fundamentals_data_science

parametric-t-sne

Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.

pgmpy_notebook

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

pgp-aiml

Repo for AIML case studies and projects

plotly-dashboards-with-dash

This is the repo for the Udemy Course Python Dashboards with Plotly's Dash

pose2seg

Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

poseestimation-coreml

The example of running Pose Estimation using Core ML

profile-summary-for-github

Tool for visualizing GitHub profiles

python

All Algorithms implemented in Python

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

python-machine-learning-by-example-second-edition

published by Packt

python_tutorials

Python tutorials in both Jupyter Notebook and youtube format.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pythonforprogrammers

Files associated with our book Python for Programmers

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

qgrid

An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

reinforcement_learning_guide

This is detailed learning guide for anyone interested in Reinforcement Learning. The contents are extracted from various websites and have been put together in simplified manner.

research-computer-vision

Implementations of computer vision concepts.

sklearn-classification

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

tensorflow-cookbook

Simple Tensorflow Cookbook for easy-to-use

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

the-python-workshop

A New, Interactive Approach to Learning Python

the-supervised-learning-workshop

An Interactive Approach to Understanding Supervised Learning Algorithms