6312 Open source projects that are alternatives of or similar to Stanford Cs229

Human-explainable AI.

Code, exercises and tutorials of my personal blog ! 📝

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

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

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Quantitative Interview Preparation Guide, updated version here ==>

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My Blog

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A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.

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Porting the R code in ISL to python. Labs and exercises

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

GeostatsPy Python package for spatial data analytics and geostatistics. Mostly a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) in Python. Geostatistics in a Python package. I hope this resources is helpful, Prof. Michael Pyrcz

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

IPython widgets, interactive plots, interactive machine learning

My Answer to 120 Data Science Interview Questions

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

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

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

Computations and statistics on manifolds with geometric structures.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The repository provides usefull python scripts for ML and data analysis

Notebooks of Python and R code which illustrates basic causal inference using simulated data

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

A book about machine learning, statistics, and data mining for heliophysics

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

🍧 A repository that contains courses I have taken on DataCamp

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

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

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开源的各大比赛baseline