7781 Open source projects that are alternatives of or similar to Fantasy Basketball

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

Materials for GWU DNSC 6279 and DNSC 6290.

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.

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

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

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

Collection of useful data science topics along with code and articles

📝 An awesome Data Science repository to learn and apply for real world problems.

Visualizer for pandas data structures

Statistical Interactive Visualization with pandas+Jupyter integration on top of Echarts.

repo for code published on pythondata.com

Yet another black-box optimization library for Python

Curated list of Python resources for data science.

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

A Portfolio of my Data Science Projects

Stock for Deep Learning and Machine Learning

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.

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

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

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

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

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

Achieve your marketing goals with the data analytics power of Python

Companion code for the book "Mastering Social Media Mining with Python"

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Practical Data Science with Ruby based tools.

Analyze Data with Pandas-based Networks. Documentation:

Collection of stats, modeling, and data science tools in Python and R.

🍊 📊 💡 Orange: Interactive data analysis

Курс "Прикладные задачи анализа данных" (ВМК, МГУ имени М.В. Ломоносова)

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

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Code for the paper "BIOLITMAP: a web-based geolocated and temporal visualization of the evolution of bioinformatics publications" in Oxford Bioinformatics.

SF Brigade's Data Science Working Group.

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

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

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

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.

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.

experiments with python

📢 Ready to learn or review your knowledge!

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

Quiz & Assignment of Coursera

Teaching Materials for Dr. Waleed A. Yousef

Analyze facebook copy of your data with ruby language. Download zip file from facebook and get info about friends ranking by message, vocabulary, contacts, friends added statistics and more

H2O.ai Machine Learning Interpretability Resources

👨🏽‍🏫You can learn about anything over here. What Giveaways I do and why it's important in today's modern world. Are you interested in Giveaway's?🔋

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

Introduction to Data Science

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch.

Resources for weekly Data Science Lunch & Learns

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

Explore high-dimensional datasets and how your algo handles specific regions.

model-describer : Making machine learning interpretable to humans

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

Machine learning fundamentals lesson in interactive notebooks

Tutorial Sessions for SciPy Con 2019

Apache Superset is a Data Visualization and Data Exploration Platform

Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.