7071 Open source projects that are alternatives of or similar to Datacamp

Create HTML profiling reports from pandas DataFrame objects

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

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

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

Visualizer for pandas data structures

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

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

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Curso de Data Science em Português

A Dynamic Web Toolbox for Interactive Data Processing, Analysis, and Visualization

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

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

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

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

A Julia machine learning framework

Human-explainable AI.

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

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.

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

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

Collection of useful data science topics along with code and articles

Multi-class confusion matrix library in Python

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

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

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

A Portfolio of my Data Science Projects

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

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

A repo for data science related questions and answers

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

Probably the best curated list of data science software in Python.

Aulas da Escola de Inteligência Artificial de São Paulo

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

Machine learning fundamentals lesson in interactive notebooks

Stock for Deep Learning and Machine Learning

Kernel Density Estimation in Python

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

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.

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

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.

Resources for weekly Data Science Lunch & Learns

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.

USC urban data science course series with Python and Jupyter

scikit-mobility: mobility analysis in Python

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

Probabilistic reasoning and statistical analysis in TensorFlow

A simple probabilistic programming language.

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

Quiz & Assignment of Coursera

My Answer to 120 Data Science Interview Questions

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

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

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

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 ;)

Introduction to Data Science

YouTube Like Count Predictions using Machine Learning

IPython widgets, interactive plots, interactive machine learning

open source for wechat-official-account (ID: PyDataLab)

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