my_vivno

Successfully developed a wine recommendation system by integrating data science techniques with machine learning, providing users with personalized wine suggestions based on their preferences and historical data.

NBA Game Analysis

The NBA Game Analysis project provides a set of Python scripts to analyze NBA game data, extract player statistics, and predict game outcomes. It includes functions to load game data, preprocess it, analyze player performances, visualize statistics, and predict game results.

my_convex_optimization

This project explores various optimization techniques implemented in Python for finding roots, minimizing functions, and solving linear programming problems.

Mobapp Studio

This project involved analyzing a dataset to gain insights into the mobile app market, focusing on the Google Play Store. The main tasks included loading the dataset, performing data preprocessing, conducting analysis, and presenting the findings in a report format. Here's a summary of the project

Visa For Lisa

The goal is to increase the bank’s marketing conversion rates by identifying and predicting which deposit clients are most likely to accept a loan offer.

My Paypal

Using machine learning techniques. The system is designed to detect fraudulent transactions in credit card data. It employs various classifiers trained on a dataset containing legitimate and fraudulent transactions.