Later on in the course, I used a model from HuggingFace to train and then fine tune with DistilBERT and BERT uncased transformers. The process would include parsing and training the model on existing IMDB movie reviews, 25,000+ entries. Another project was undertanding how neural networks worked, convolutional neural networks which are deep learning algorithm mainly designed for tasks that necessitate object recognition, including image classification, detection, and segmentation. I also used Linear regression, Logistic regression, Naive Bayes, Decision tree, Random forest algorithm, K-nearest neighor, (KNN) algorithm, K-Means algorithm, Supervised learning and Unsupervised Learning.