ML_Projects.

I have performed the following machine learning algorithms and derived conclusions on Amazon Fine Food Reviews dataset which is available on Kaggle.

1. T-Distributed Stochastic Neighbor Embedding(T-SNE) for visualizing the data
2. K-Nearest Neighbours
3. Naive Bayes
4. Logistic Regression
5. Support Vector Machines(SVM)
6. Decision Trees
7. Random Forests

CNN_MNIST : In this project, I tried out different models with CNN layers and experimented with number of layers on MNIST data. Included error plots for visual description .Finally, compared all the models in a tabular format

MLP(Using Dropouts and Batch Normalization): In this project, I tried out models with different architectures and experimented with number of layers on MNIST data. Included error plots for visual description