7348 Open source projects that are alternatives of or similar to Notebooks Statistics And Machinelearning

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

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Learn advanced data science on real-life, curated problems

R package to interface with OpenML

A day to day plan for this challenge. Covers both theoritical and practical aspects

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

A fast xgboost feature selection algorithm

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

[tutorial]A functional, Data Science focused introduction to Python

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Human-explainable AI.

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.

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

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 ;)

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

The blog post about Kubeflow, including all materials

Introduction to Data Science

A Julia machine learning framework

USC urban data science course series with Python and Jupyter

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

🍧 A repository that contains courses I have taken on DataCamp

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

An IPython notebook plugin for visualizing ASTs.

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

A repo with tutorials for algorithms from scratch

Lending Club Loan data analysis

Plain python implementations of basic machine learning algorithms

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

Probabilistic reasoning and statistical analysis in TensorFlow

anomaly detection with anomalize and Google Trends data

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

A simple probabilistic programming language.

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

My Answer to 120 Data Science Interview Questions

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

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

Create HTML profiling reports from pandas DataFrame objects

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

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

The repository provides usefull python scripts for ML and data analysis

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

A repo for data science related questions and answers

Debugging, monitoring and visualization for Python Machine Learning and Data Science

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.

GitHub Action for repo2docker

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

IPython widgets, interactive plots, interactive machine learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

This repository contains notes and projects of Data scientist track from dataquest course work.

A collection of Jupyter/IPython notebooks

Python library for identifying the peaks and valleys of a time series.

Aulas da Escola de Inteligência Artificial de São Paulo

List of Data Science and Machine Learning Resource that I frequently use

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

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

The "Python Machine Learning (1st edition)" book code repository and info resource

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)