7428 Open source projects that are alternatives of or similar to Numerical Linear Algebra

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Open Machine Learning Course

Labs for the Foundations of Applied Mathematics curriculum.

I will update this repository to learn Machine learning with python with statistics content and materials

A collection of notebooks of my Machine Learning class written in python 3

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Stock for Deep Learning and Machine Learning

Grokking Deep Reinforcement Learning

A New, Interactive Approach to Learning Python

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Achieve your marketing goals with the data analytics power of Python

Data science and Big Data with Python

Yet another black-box optimization library for Python

This is Andrew NG Coursera Handwritten Notes.

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Source material for Python Like You Mean it

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Teaching materials in python at the @ENSAE

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.

Talks & Workshops by the CODAIT team

中文 Python 笔记

The Hitchhiker's Guide to Data Science for Social Good

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

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Quiz & Assignment of Coursera

The "Python Machine Learning (2nd edition)" book code repository and info resource

pyclustring is a Python, C++ data mining library.

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

Project for Digital Image Processing

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Python tools for data analysis

Machine learning algorithms implemented by pure numpy

Modern Data Science

Completed assignments and coding challenges from the Lambda School Data Science program.

Human Activity Recognition (HAR) with Keras and CoreML

Introduction to Data Science

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

A Python implementation of Sky Region Detection in a Single Image for Autonomous Ground Robot Navigation (Shen and Wang, 2013)

PyMC3 educational resources

The blog post about Kubeflow, including all materials

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

Google Colaboratory Notebooks and Repositories (by @firmai)

Support content for my blog

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

Introduction to pandas Treehouse course

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

A temporal music synthesizer

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

ML.NET Workshop to predict car sales prices

Resources for weekly Data Science Lunch & Learns

Python pour Statistique et Science des Données -- Syntaxe, Trafic de Données, Graphes, Programmation, Apprentissage

brief introduction to Python for machine learning