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70 search results found
Mljar Supervised
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2,867
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Dtreeviz
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2,720
A python library for decision tree visualization and model interpretation.
Eli5
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2,695
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Benchm Ml
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1,839
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Auto_ml
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1,442
[UNMAINTAINED] Automated machine learning for analytics & production
Mlbox
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1,403
MLBox is a powerful Automated Machine Learning python library.
Alphapy
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1,003
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Xorbits
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946
Scalable Python DS & ML, in an API compatible & lightning fast way.
Skforecast
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792
Time series forecasting with scikit-learn models
Data Science Competitions
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789
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Hyperparameter_hunter
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635
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Interpretable_machine_learning_with_python
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629
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Hyperactive
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475
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Featran
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465
A Scala feature transformation library for data science and machine learning
Mli Resources
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405
H2O.ai Machine Learning Interpretability Resources
Bdci2018 Chinauuicom 1st Solution
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271
这是BDCI2018的联通赛题第一名解决方案
My Data Competition Experience
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271
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
Data_science_blogs
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232
A repository to keep track of all the code that I end up writing for my blog posts.
Feature Engineering Tutorials
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217
Data Science Feature Engineering and Selection Tutorials
Laurae
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194
Advanced High Performance Data Science Toolbox for R by Laurae
Nba Prediction
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186
A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.
Speedml
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185
Speedml is a Python package to speed start machine learning projects.
Automl_alex
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171
State-of-the art Automated Machine Learning python library for Tabular Data
Boostaroota
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139
A fast xgboost feature selection algorithm
Xgboost_ray
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121
Distributed XGBoost on Ray
Data Science Popular Algorithms
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101
Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
Sci Pype
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96
A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
30 Days Of Ml Kaggle
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93
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
Sigmoidal_ai
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89
Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Secure Xgboost
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86
Secure collaborative training and inference for XGBoost.
Arch Data Science
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83
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Allstate_capstone
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69
Allstate Kaggle Competition ML Capstone Project
Jlboost.jl
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61
A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms
Ds Ml Public
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49
Python Scripts and Jupyter Notebooks
Autotabular
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45
Automatic machine learning for tabular data. ⚡🔥⚡
Rosetta_recsys2019
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42
The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
Datascienv
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41
datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries
Open Solution Value Prediction
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39
Open solution to the Santander Value Prediction Challenge 🐠
Tweetbotornot2
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37
🔍🐦🤖 Detect Twitter Bots!
Kaggle Berlin
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36
Material of the Kaggle Berlin meetup group!
Quickdraw_prediction_model
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34
this is my repository for the quick draw prediction model project
Minimal Datascience
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29
This repository contains all the code and dataset used in my blog series: Minimal Data Science
Data_science
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27
Target And Market
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25
A data-driven tool to identify the best candidates for a marketing campaign and optimize it.
Idao 2019 Muon Id
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23
Problem for IDAO 2019 on LHCb Muon Identification
Fashion
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22
The Fashion-MNIST dataset and machine learning models.
Neptune Examples
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22
Examples of using Neptune to keep track of your experiments (maintenance only).
Kaggle
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22
kaggle
Tsforecasting
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19
TSForecasting - Automated Time Series Forecasting Framework
Diabetes_use_case
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19
Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/
Challenges
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14
Mono-repo containing several challenges in a variety of Data Science and Machine Learning topics.
Predicting Baseball Statistics
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14
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn
Nyc_taxi_trip_duration
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13
Develop ML models predict taxi trip duration in NYC. Ranked : Top 6% | RMSLE : 0.377 (Kaggle) | #DS
Nycbuildingenergyuse
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11
Creating Regression Models Of Building Emissions On Google Cloud
Linora
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11
Simple and efficient tools for data science.
Meilleur Data Scientist France 2018
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10
My solution for the competition "Le meilleur data scientist de France 2018" (Best Data Scientist of France 2018)
Mobile Price Prediction Classification Analysis
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10
Supervised Machine Learning Analysis Using Classification Models
Kkbox Data Game 17.06
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8
Dextra Mindef 2015
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8
My solution for Dextra Data Science Challenge #44 (Singapore Ministry of Defense) https://challenges.dextra.sg/challenge/44
Xgboostjson
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7
convert an R or Python xgboost model object to javascript for use in a node.js application
Python Projects
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7
Portfolio in Python
Dash Stock Price Prediction
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7
Visualising stock price predictions for several Machine Learning models using DASH, Python
Capital One Data Challenge
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7
NYC Taxi Data Challenge - Data Scientist
Youtube Adview Prediction
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6
A Machine Learning project for Machine Learning Internship offered by InternshipStudio.
Apparel Recommendations
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6
Content Based Filtering and Apparel Recommendations.
Porto Seguro Safe Driver Prediction
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6
Predict if a driver will file an insurance claim next year. (Kaggle Competition)
Docker Spark Anaconda
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5
Spark and Anaconda in Docker
Bank Marketing
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5
A Data-Driven Approach to Predict the Success of Bank Telemarketing
Code Data Science
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5
Tutorials, demos, and tests on using software to solve data science problems.
Machine Learning Workshop
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5
We come from different major backgrounds, such as computer science, statistics, mathematics and management science. The difference between us sparks the inspiring communications that lead to creation of various and creative application scenario, and that enhance further understanding on the incredible methodology behind those algorithms. Our goals are to elevate the qualities of operation processes in bank , to lower the cost and risk of running business , and to expand the market share in f
American Express Default Prediction
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5
Machine learning solutions for the American Express credit default prediction Kaggle competition
Forecasting_future_sales
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5
Forecasting future sales of a product offers many advantages. Predicting future sales of a product helps a company manage the cost of manufacturing and marketing the product. In this notebook, I will try to you through the task of future sales prediction with machine learning using Python.
Diabetes_prediction
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5
Predict Diabetes using Machine Learning and deployment of machine learning model using Django.
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