8617 Open source projects that are alternatives of or similar to Ml Workspace

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.

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

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

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

Association Rule Mining from Spatial Data for Crime Analysis

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

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

Stock for Deep Learning and Machine Learning

A Portfolio of my Data Science Projects

📢 Ready to learn or review your knowledge!

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

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

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

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

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

Quiz & Assignment of Coursera

Collection of useful data science topics along with code and articles

Code, Notebooks and Examples from Practical Business Python

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

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.

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

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

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

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

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

Create HTML profiling reports from pandas DataFrame objects

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.

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

Resources for weekly Data Science Lunch & Learns

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

Visualizer for pandas data structures

model-describer : Making machine learning interpretable to humans

repo for code published on pythondata.com

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

USC urban data science course series with Python and Jupyter

jupyter/ipython experiment containers for GPU and general RAM re-use

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

OpenRefine is a free, open source power tool for working with messy data and improving it

🎓 Jupyter notebooks from UFC data science course

Machine Learning for High Energy Physics.

GPU Accelerated t-SNE for CUDA with Python bindings

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

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

A visualisation tool for the creation and analysis of graphs

Actively curated list of awesome BI tools. PRs welcome!

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

🤖⚡️ scikit-learn tips

SF Brigade's Data Science Working Group.

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

YouTube Like Count Predictions using Machine Learning

Templates for jupyter notebooks

Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.

Koç University deep learning framework.

Build a data visualization dashboard with simple snippets of python code

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.

🍧 A repository that contains courses I have taken on DataCamp

A site that displays up to date COVID-19 stats, powered by fastpages.

A community run, 5-day PyTorch Deep Learning Bootcamp

IPython widgets, interactive plots, interactive machine learning