7107 Open source projects that are alternatives of or similar to 120 Ds Interview Questions

USC urban data science course series with Python and Jupyter

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

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

Quantitative Interview Preparation Guide, updated version here ==>

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

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

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

Human-explainable AI.

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

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

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

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

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

IPython widgets, interactive plots, interactive machine learning

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

A simple probabilistic programming language.

Probabilistic reasoning and statistical analysis in TensorFlow

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

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 ;)

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

🍧 A repository that contains courses I have taken on DataCamp

A Julia machine learning framework

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

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

R package to interface with OpenML

Aulas da Escola de Inteligência Artificial de São Paulo

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.

Training Diary

Kotlin API for Lets-Plot - an open-source plotting library for statistical data.

Visualizer for pandas data structures

Interactive Go programming with Jupyter

An open-source, low-code machine learning library in Python

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

This is a tutorial for PyTorch Geometric on the YooChoose dataset

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

This is Andrew NG Coursera Handwritten Notes.

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

RadIO is a library for data science research of computed tomography imaging

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

A collection of Jupyter Notebooks for learning Python for Data Science.

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

Source code and data analyses for the Sci-Hub Coverage Study

A fast and lightweight AutoML library.

An easy to use blogging platform, with enhanced support for Jupyter Notebooks.

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

Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

SuperComputing 2017 Deep Learning Tutorial

CardIO is a library for data science research of heart signals

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.

Web scrapping and related analytics using Python tools

Tutorial: Web scraping in Python with Beautiful Soup

CARTO Python package for data scientists

Materials for GWU DNSC 6279 and DNSC 6290.

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

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

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

Kernel Density Estimation in Python