8180 Open source projects that are alternatives of or similar to Datasciencevm

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

Data augmentation for NLP

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

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

📢 Ready to learn or review your knowledge!

Quiz & Assignment of Coursera

Multi-class confusion matrix library in Python

[Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning

repo for code published on pythondata.com

Simple and Distributed Machine Learning

Rumale is a machine learning library in Ruby

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

A curated list of references for MLOps

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

Griffon Data Science Virtual Machine

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.

A Python library for easy data analysis, visualization, exploration and modeling

Introduction to Data Science

PyMC3 educational resources

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

CNN image classifier implemented in Keras Notebook 🖼️.

Support content for my blog

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

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

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

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

🚀 Build and manage real-life data science projects with ease!

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

A simple Spark-powered ETL framework that just works 🍺

Machine learning fundamentals lesson in interactive notebooks

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

Reproducible Data Science at Scale!

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

Collection of useful data science topics along with code and articles

Python tools for data analysis

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

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

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

YouTube Like Count Predictions using Machine Learning

Create HTML profiling reports from pandas DataFrame objects

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

Best Practices on Recommendation Systems

🍧 A repository that contains courses I have taken on DataCamp

fklearn: Functional Machine Learning

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Datasets, tools, and benchmarks for representation learning of code.

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

Official community-driven Azure Machine Learning examples, tested with GitHub Actions

Resources for weekly Data Science Lunch & Learns

Lending Club Loan data analysis

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.

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

A Portfolio of my Data Science Projects

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

Jupyter notebook and datasets from the pandas Q&A video series

Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

Best Practices, code samples, and documentation for Computer Vision.

Ultimate Tennis Statistics and Tennis Crystal Ball - Tennis Big Data Analysis and Prediction