yangchenyun / dbclass-exercises
All the Stanford DB class exercises summarized together
☆49Updated 12 years ago
Alternatives and similar repositories for dbclass-exercises:
Users that are interested in dbclass-exercises are comparing it to the libraries listed below
- Some tools that I often find myself using in Kaggle challenges.☆31Updated 3 years ago
- An entry to kaggle's 'Sentiment Analysis on Movie Reviews' competition☆181Updated 6 years ago
- daily curated links in DS, DL, NLP, ML☆130Updated 5 years ago
- Solution code from my winning submission to Kaggle's PyCon 2015 competition☆55Updated 9 years ago
- Codes for several practice contests in Kaggle☆85Updated 9 years ago
- Predicting happiness from demographics and poll answers☆45Updated 8 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆127Updated 8 years ago
- Shell script to scrape Harvard CS109 (Intro to Data Science) lecture videos☆79Updated 8 years ago
- Demonstrates data munging, analysis and visualization techniques☆121Updated 9 years ago
- Pydata NYC 2014 Scikit Learn Tutorial☆64Updated 10 years ago
- All Kaggle competitions☆91Updated 8 years ago
- A collection of statistical tools to aid Data Science competitors in Kaggle Competitions.☆63Updated 7 years ago
- Updated 9 years ago
- Where will a new guest book their first travel experience?☆53Updated 7 years ago
- Code & Data for Introduction to Machine Learning with Scikit-Learn☆81Updated 6 years ago
- project solutions to Udacity's Machine Learning Nanodegree☆22Updated 8 years ago
- This repository contains materials for demos, tutorials, and talks by Dato Inc.☆172Updated 8 years ago
- practical introduction to Python for neural networks, with keras and tensorflow - Oct 2016☆87Updated 2 years ago
- ☆41Updated 8 years ago
- Material for ODSCON San Francisco 2015☆79Updated 9 years ago
- Allstate Purchase Prediction Challenge on Kaggle☆58Updated 10 years ago
- Introduction to Deep Learning☆126Updated 9 years ago
- IPython notebooks and data an interactive scikit-learn tutorial.☆53Updated 10 years ago
- My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)☆82Updated 10 years ago
- A collection of machine learning datasets☆30Updated 9 years ago
- Cleaned code of the winning submission of the Kaggle Recruiting Competition☆123Updated 5 years ago
- Files for my scikit-learn tutorial at PyCon 2013☆170Updated 8 years ago
- Code for the Kaggle acquire valued shoppers challenge☆66Updated 10 years ago
- Uses Zillow metadata, NLP on realtor description, and VGG16 on home images to predict home sale prices in Portland from 6/16 - 7/17.☆63Updated 7 years ago
- DePy 2015 Talk☆117Updated 7 years ago