Some projects:

"House Prices - Advanced Regression Techniques" - Kaggle Competition Description: Predicted the final price of residential homes in Ames, Iowa using advanced regression techniques. Conducted exploratory data analysis, data processing, and modeling, including cross-validation and stacking. Skills Used: EDA, Data Processing, Modeling (Lasso, ENet, KRR, GBoost, XGBoost, LightGBM), Feature Engineering.

"Deep Q-Learning - Lunar Lander" - Coursera Project Description: Implemented a Deep Q-Learning algorithm to safely land a lunar lander using OpenAI's GymLibrary. Employed Target Network and Experience Replay techniques. Skills Used: Deep Reinforcement Learning, Python, OpenAI Gym, Neural Networks.

"Winning Space Race" - Coursera Capstone Project Description: Predicted the success of rocket launches, like SpaceX missions, through data collection, wrangling, exploratory data analysis, and predictive analysis using machine learning models. Skills Used: Data Collection, Data Wrangling, Data Visualization, Predictive Analysis.

"Flower Classification with TPUs" - Kaggle Competition Description: Identified the type of flowers in a dataset of images using distribution strategies, data loading, augmentation, and deep learning models. Employed ensemble techniques for improved predictions. Skills Used: Deep Learning, TensorFlow, TPUs, Image Classification, Data Augmentation.

"Neural Translation Model" - Coursera Capstone Project Description: Developed a neural translation model from English to German, including text preprocessing, data preparation, and custom model training using TensorFlow. Skills Used: Natural Language Processing, Neural Networks, TensorFlow.