Build a model to detect fraudulent credit card transactions. Usingdataset and also experiment with with algorithm like LogisticRegression, Decision Trees, or Random Forests to classify transactionsas fraudulent or legitimate.Build an AI model that can classify SMS message as spam or legitimateusing techniques like TF-IDF or word embeddings with classifiers likeNaive Bayes, Logistic Regression, or Support Vector Machine to identifyspam messages.Implementing a character-level recurrent neural network (RNN) togenerate handwritten-like text and Training the model on dataset ofhandwritten text.

Improved on-level test scores in science from 46% to 78% during my tenure.I have experience with various machine learning models such as Random Forest, SVM, and K Means.