ML Resources

My machine learning notebooks

Classification of images using Logistic Regression, Multi-Layer Perceptron and CNN on the MNIST Dataset.
Sentiment analysis and text classification using SWEM, RNNs, LSTMs, GRU. Used pre-trained word vectors from ConceptNet Numberbatch as well as learned word embeddings from AG News dataset.
Reinforcement Learning techniques like Q learning, using it for OpenAI Gym environments like FrozenLake, as well as DQN, using it on CartPole.

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
resources		resources
.gitignore		.gitignore
CNN.ipynb		CNN.ipynb
LICENSE		LICENSE
Logistic Regression.ipynb		Logistic Regression.ipynb
Multi-Layer Perceptron.ipynb		Multi-Layer Perceptron.ipynb
NLP.ipynb		NLP.ipynb
README.md		README.md
Reinforcement Learning.ipynb		Reinforcement Learning.ipynb

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