Alternatives and similar repositories for Kaggle

Users that are interested in Kaggle are comparing it to the libraries listed below

• rajat5ranjan / AV-AmExpert-2019-ML-Hackathon
  AmExpert 2019 organised by AV
  ☆31Updated 6 years ago
• SudalaiRajkumar / DHS2019_HackSession_NLP
  Codes used for the hack session in DHS 2019
  ☆53Updated 6 years ago
• SudalaiRajkumar / ML
  Codes related to various ML Hackathons
  ☆211Updated 6 years ago
• sayakpaul / A-B-testing-with-Machine-Learning
  Implemented an A/B Testing solution with the help of machine learning
  ☆50Updated 4 years ago
• shravankoninti / AV
  Analytics Vidhya Hackathons and Others
  ☆26Updated 5 years ago
• rajat5ranjan / AV-LTFS-Data-Science-FinHack-ML-Hackathon
  L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
  ☆55Updated 6 years ago
• SharmaNatasha / Machine-Learning-using-Python
  Open Machine learning Projects
  ☆97Updated 2 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• rajat5ranjan / AV-Innoplexus-Online-Hiring-Hackathon-Sentiment-Analysis
  Innoplexus Online Hiring Hackathon: Sentiment Analysis organised by Analytics Vidya
  ☆11Updated 6 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆50Updated 7 years ago
• parulnith / 10-Simple-hacks-to-speed-up-your-Data-Analysis-in-Python
  Some useful Tips and Tricks to speed up the data analysis process in Python.
  ☆61Updated 6 years ago
• dipanjanS / explainable_artificial_intelligence
  Slides, code and resources for model interpretation methods in machine learning and deep learning
  ☆33Updated 6 years ago
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆51Updated 8 years ago
• jalajthanaki / DataScience_Interview_Seminar
  This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
  ☆40Updated 7 years ago
• groverpr / Machine-Learning
  Notes for machine learning
  ☆219Updated 3 years ago
• FavioVazquez / kaggle-learning
  Repository for sharing the knowledge from the learning path of Kaggle Learning. All contributions welcome :).
  ☆156Updated 8 years ago
• dipanjanS / data_science_for_all
  Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
  ☆212Updated 6 years ago
• jalajthanaki / Customer_segmentation
  Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …
  ☆137Updated 7 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆74Updated 5 years ago
• yug95 / MachineLearning
  Machine learning for beginner(Data Science enthusiast)
  ☆128Updated 10 months ago
• Sangarshanan / time-series-forecasting
  Understanding time series forecasting
  ☆65Updated 5 years ago
• iAyon / DataHackSummit2019
  Resources of Data Hack Summit 2019
  ☆70Updated 6 years ago
• tanujjain / deploy-ml-model
  Deploying a simple machine learning model to an AWS ec2 instance using flask and docker.
  ☆81Updated 6 years ago
• parulnith / What-I-learnt-by-interviewing-numerous-Kaggle-Grandmasters
  ☆38Updated 4 years ago
• kunalj101 / amExpert_ML_Hackathon_2019_Winners_Soultions
  ☆24Updated 2 years ago
• Abhishekmamidi123 / 100DaysOfMLCode
  Learning Machine Learning and showcasing my work for 100 Days.
  ☆15Updated 7 years ago
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆32Updated last year
• serengil / decision-trees-for-ml
  Building Decision Trees From Scratch In Python
  ☆68Updated 6 months ago
• bishwarup307 / AV_ClubMahindra
  Club Mahindra DataOlympics 03-05-2019 - 05-05-2019
  ☆21Updated 6 years ago