7421 Open source projects that are alternatives of or similar to Articles

model-describer : Making machine learning interpretable to humans

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

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.

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.

Resources for weekly Data Science Lunch & Learns

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

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

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

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

Visualizer for pandas data structures

Collection of useful data science topics along with code and articles

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

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

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

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

repo for code published on pythondata.com

📢 Ready to learn or review your knowledge!

Lending Club Loan data analysis

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

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

Quiz & Assignment of Coursera

A Portfolio of my Data Science Projects

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.

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

a delightful machine learning tool that allows you to train, test, and use models without writing code

Introduction to Data Science

Stock for Deep Learning and Machine Learning

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

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

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.

Learn advanced data science on real-life, curated problems

What Twitter reveals about the differences between cities and the monoculture of the Bay Area

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.

🍧 A repository that contains courses I have taken on DataCamp

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

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

Curso de Data Science em Português

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

R package to interface with OpenML

A repo with tutorials for algorithms from scratch

Machine Learning and Data Analysis Coursera Specialization from Yandex and MIPT

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

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

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

Achieve your marketing goals with the data analytics power of Python

SF Brigade's Data Science Working Group.

Machine learning fundamentals lesson in interactive notebooks

Code, Notebooks and Examples from Practical Business Python

YouTube Like Count Predictions using Machine Learning

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

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

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

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

Scraping statistics, predicting NBA player performance with neural networks and boosting algorithms, and optimising lineups for Draft Kings with genetic algorithm. Capstone Project for Machine Learning Engineer Nanodegree by Udacity.

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/

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

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

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