Hanmin Qin's repositories
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.
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
deep-learning-Andrew-Ng
Deep learning online course from Andrew Ng.
kaggle-Toxic-Comment-Classification-Challenge
top 1% based on RNN&CNN&bert
fine-tune-bert-for-text-classification
Code to reproduce the paper "How to Fine-Tune BERT for Text Classification"
machine-learning-papers
papers about important machine learning algorithms
kaggle-San-Francisco-Crime-Classification
top 2% (45/2333), based on CatBoostClassifier
keras-datasets
For those who are behind the Great Wall
machine-learning-notes
some personal notes
tensorflow
An Open Source Machine Learning Framework for Everyone
udacity-machine-learning-projects
Udacity's Machine Learning curriculum
kaggle-Forest-Cover-Type-Prediction
top 2% (17/1694) based on ExtraTreesClassifier and LGBMClassifier
kaggle-House-Prices-Advanced-Regression-Techniques
top 20%, based on scikit-learn/XGBoost/LightGBM
kaggle-Rossmann-Store-Sales
top 2% (45/3302), based on XGBRegressor
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
scikit-learn
scikit-learn: machine learning in Python
sklearn-svm-guide
Rapidly obtain acceptable results using SVM (based on scikit-learn)
tiny-gradient-boosting-regressor
tiny gradient boosting regressor within 150 lines of python code, compared with LightGBM
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.