Youtube Mr. Beast Analysis Project background and context This project aims to provide a comprehensive overview of Mr. Beast YouTube channel, with a focus on key metrics such as video performance, audience sentiment analysis, channel growth, video content analysis, trending topics, thumbnail evaluation and a comparison with similar channels. The goal of this project is to provide insights into the channel’s strengths and areas for improvement, and to inform strategic decisions related to content creation, audience engagement, and monetization.

SpaceX - Winning the space race Project background and context We have identified that for SpaceY be able to compete with Space X our client needs to know what are the best practices, the key parameter what the probability of the first stage to land successfully. Having a successful land of the first stage means saving almost 200 milion dollars. Problems you want to find answers The project task is to predict what are the chances of the first stage to land successfully, and how the other components like payload, booster, and launch sites can impact on that chance, using SpaceX Falcon 9 as a model Methodologies

Credit Card Fraud Detection Decision Tree and Support Vector Machine models were used to recognize fraudulent credit card transactions Comparison between Scikit-Learn and Snap efficiency. Libraries used on the project: Numpy Pandas Scikit-Learn Matplotlib Link to GitHub Repository