qinhanmin2014/Learning-Materials

This repository has been archived on 19/Feb/2021
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qinhanmin2014/Learning-Materials

qinhanmin2014

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machine-learning-Andrew-Ng

Machine learning online course from Andrew Ng.

LeetCode-solutions

LeetCode Solutions in Python, Java and C++

tiny-sklearn

Tiny implementation of important algorithms in scikit-learn. Useful when understanding ML algorithms and scikit-learn.

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Machine-Learning-in-Action

Source code from the book Machine Learning in Action, corrected the errors, updated according to python 3.X

kaggle-bike-sharing-demand

simple solution based on Gradient Boost and Random Forest, rank 24/3251 (top 1%) within 60 lines of python code

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deep-learning-Andrew-Ng

Deep learning online course from Andrew Ng.

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kaggle-Toxic-Comment-Classification-Challenge

top 1% based on RNN&CNN&bert

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fine-tune-bert-for-text-classification

Code to reproduce the paper "How to Fine-Tune BERT for Text Classification"

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machine-learning-papers

papers about important machine learning algorithms

kaggle-San-Francisco-Crime-Classification

top 2% (45/2333), based on CatBoostClassifier

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machine-learning-notes

some personal notes

udacity-machine-learning-projects

Udacity's Machine Learning curriculum

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keras-datasets

For those who are behind the Great Wall

ML-paper-reproduce

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