- Data-Driven Fantasy Premier League (FPL)
- Utilise data from the FPL website via API call for data-driven team selection in Fantasy Premier League.
- Sentiment Analysis RNN, LSTM
- Hands-on NLP with Sentiment Analysis on IMDb Dataset, comparing RNN and LSTM results.
- Neural Network Tensorflow
- Basic neural networks implementation using TensorFlow, applied to the MNIST dataset.
- Variational Auto-Encoder
- Generation of new fashion MNIST Data using Variational Auto-Encoders, based on minimising the KL-divergence.
- Support Vector Machine
- Classification with Support Vector Machine (SVM) algorithm using sklearn, exploring various kernel functions and hyperparameter tuning.
- K-means Clustering
- Unsupervised clustering with K-means, applied to the MNIST dataset using sklearn, experimenting with different values of ‘k’ (number of clusters).
