I am enthusiast about doing Machine learning projects to empower society
I have worked on many projects. All the courses I took on Coursera had large projects behind them. For example, Natural Language Processing courses in which I worked on chatbots using Reformer model, Neural Machine Translation using Transformer model, sentence completion (language modeling), question answering, and so on.
As for the field of computer vision, I did, for example, the Face recognition system for searching missing people using the Facenet model and flutter, also Object detection using the YOLO algorithm, also face embedding using autoencoders, and also Variational autoencoders for generating new instances.
In the field of Machine learning, I learned linear regression , logistic regression, Naive Bayes, support vector machine, decision trees , random forests, ensemble learning , k-nearest neighbors, k-means for clustering , principle component analysis, t-sne for visualization , Markov chain, Monte Carlo, distribution estimation, ELBO
Then in the field of reinforcement learning I learned value-based methods such as value iteration , policy iteration, Temporal difference methods, Monte Carlo for value estimation, Deep Q-learning and also policy-based methods such as Actor-Critic methods and it's enhancements