7118 Open source projects that are alternatives of or similar to Data Science Cookbook

brief introduction to Python for machine learning

Python Helper library for Jupyter Notebooks

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

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Distributed scikit-learn meta-estimators in PySpark

General Assembly's 2015 Data Science course in Washington, DC

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

Word2Vec models with Twitter data using Spark. Blog:

Content for architecting a data science platform for products using Luigi, Spark & Flask.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

🤖⚡️ scikit-learn tips

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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

Association Rule Mining from Spatial Data for Crime Analysis

IPython widgets, interactive plots, interactive machine learning

Jupyter notebooks from the scikit-learn video series

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

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

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

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

🛠 All-in-one web-based IDE specialized for machine learning and data science.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

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

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

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

Applying Data Science and Machine Learning to Solve Real World Business Problems

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

Data science and Big Data with Python

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

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

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

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

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

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

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

Efficient variant-call data storage and retrieval library using the TileDB storage library.

PyMC3 educational resources

Google Colaboratory Notebooks and Repositories (by @firmai)

Create HTML profiling reports from pandas DataFrame objects

The blog post about Kubeflow, including all materials

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

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

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

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

Introduction to pandas Treehouse course

Apache Spark - Turbofan Engine Degradation Simulation Data Set example in Apache Spark

ML.NET Workshop to predict car sales prices

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Alpine Container for Machine Learning

Predicting forex binary options using time series data and machine learning

An Interactive Approach to Understanding Deep Learning with Keras

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

Python training for business analysts and traders

Carefully curated resource links for data science in one place

A Julia machine learning framework

Learn advanced data science on real-life, curated problems

A simple Spark TDD example