machine learning and deep learning algorithm implementations

Implementations of some machine learning and deep learning methods. Hands-on practice for ML/DL coding and testing

For deep learning practice, highly recommend watching the awesome videos from Jeremy Howard: https://www.fast.ai/.

Name		Name	Last commit message	Last commit date
Latest commit History 40 Commits
LogisticRegression.py		LogisticRegression.py
ML Algorithm Implementation.ipynb		ML Algorithm Implementation.ipynb
Neural Network optimizer comparison.ipynb		Neural Network optimizer comparison.ipynb
README.md		README.md
hierarchy cluster.ipynb		hierarchy cluster.ipynb
kmeans.py		kmeans.py
kmeans_result.png		kmeans_result.png
knn.py		knn.py
language model and CBOW.ipynb		language model and CBOW.ipynb
lda.py		lda.py
linear_SGD.py		linear_SGD.py
linear_regression.py		linear_regression.py
lr.JPG		lr.JPG
neural_net.py		neural_net.py
pca.py		pca.py
pytorch_rnn.ipynb		pytorch_rnn.ipynb
tf-idf.py		tf-idf.py

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