Projects

Stack: Python, Sklearn, NLTK, Azure Custom Vision, PyTorch, OpenCV, Pandas, Numpy, Matplotlib

• Diabetics diagnosis (ML): Diagnosed diabetes using logistic regression and random forest.                                                                                               

• Sentiment Analysis (NLP): Designed a sentiment analyzer for hotel reviews using the concept of Classification.                                                                                                                                                                                

• Price Predictor (ML): Designed a linear regression-based model to predict the prices of house in the Ames area using several features.                                                                                                                                   

• Face Recognition (CV): Built a Real-Time Face Mask Detection System predicting whether or not a person wears a mask.                                                                                                                                 

• Spam Detection (NLP): Developed an SMS classifier that returns with a level of accuracy if a message is spam or not.

• Model Comparison (ML): Comparative Analysis of Naïve Bayes, Decision Tree, and Ensemble Models on the Iris Dataset

• Fraud Detection (ML): Developed a credit card transaction classifier for detection of fraudulent transactions using machine learning. 

•  Data Analysis of Airbnb listings data.