https://github.com/lenguyenthedat/minimal-datascience
This repository contains all the code and dataset used in my blog series: Minimal Data Science
https://github.com/lenguyenthedat/minimal-datascience
blog-series data-science kaggle machine-learning python scikit-learn xgboost
Last synced: about 1 year ago
JSON representation
This repository contains all the code and dataset used in my blog series: Minimal Data Science
- Host: GitHub
- URL: https://github.com/lenguyenthedat/minimal-datascience
- Owner: lenguyenthedat
- Created: 2014-07-22T08:45:02.000Z (almost 12 years ago)
- Default Branch: master
- Last Pushed: 2022-12-21T13:08:15.000Z (over 3 years ago)
- Last Synced: 2025-03-27T13:11:07.498Z (about 1 year ago)
- Topics: blog-series, data-science, kaggle, machine-learning, python, scikit-learn, xgboost
- Language: Python
- Homepage: http://lenguyenthedat.com
- Size: 6.41 MB
- Stars: 30
- Watchers: 3
- Forks: 7
- Open Issues: 1
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Minimal data science blog series
================================
My goal for this minimal data science blog series is not only sharing, tutorializing, but also, making personal notes while learning and working as a Data Scientist. I’m looking forward to receiving any feedback from you.
[](https://xkcd.com/688)
Chapter-1: [Classify StarCraft 2 players with Python Pandas and Scikit-learn.](https://lenguyenthedat.github.io/minimal-data-science-1-starcraft/)
Chapter-2: [Avazu CTR Prediction with Scikit-learn and Amazon Machine Learning.](https://lenguyenthedat.github.io/minimal-data-science-2-avazu/)
Chapter-3: [Handwritten Digit Recognition with Convolutional Neural Network.](https://lenguyenthedat.github.io/minimal-data-science-3-mnist-neuralnet/)
Chapter-4: [Winning a Data Science challenge.](https://lenguyenthedat.github.io/minimal-data-science-4/)