7180 Open source projects that are alternatives of or similar to Kaggle Competitions

📢 Ready to learn or review your knowledge!

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

A community run, 5-day PyTorch Deep Learning Bootcamp

LAMA - automatic model creation framework

An intuitive library to extract features from time series

Stock for Deep Learning and Machine Learning

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.

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

DeltaPy - Tabular Data Augmentation (by @firmai)

A collection of non-residential buildings for performance analysis and algorithm benchmarking

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

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

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

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

PHP-ML - Machine Learning library for PHP

Data transformations for the ML era

数据科学竞赛知识、代码、思路

Tensorflow implementation : U-net and FCN with global convolution

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

Open solution to the Toxic Comment Classification Challenge

Fast k-Nearest Neighbors Classifier for Large Datasets

Pytorch starter kit for Kaggle competitions

阿水的数据竞赛开源分支

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

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.

Complete-Life-Cycle-of-a-Data-Science-Project

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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

IPython widgets, interactive plots, interactive machine learning

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

Ways of doing Data Science Engineering and Machine Learning in R and Python

Sample notebooks for Kaggle competitions

Comparison tools

The repository provides usefull python scripts for ML and data analysis

Codes and dashboards for 4th place solution for Kaggle's Home Credit Default Risk competition

Create HTML profiling reports from pandas DataFrame objects

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

This repository contains the code related to Natural Language Processing using python scripting language. All the codes are related to my book entitled "Python Natural Language Processing"

Automatic extraction of relevant features from time series:

A Julia machine learning framework

Allstate Kaggle Competition ML Capstone Project

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

MLBox is a powerful Automated Machine Learning python library.

food image to recipe with deep convolutional neural networks.

Features selector based on the self selected-algorithm, loss function and validation method

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

Feature exploration for supervised learning

深度学习在推荐系统中的应用及论文小结。

Solution to Kaggle - Web Traffic Time Series Forecasting

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

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

R package to interface with OpenML

Kaggle-like machine learning competition platform

Koç University deep learning framework.

Templates for jupyter notebooks