Compilation of R and Python programming codes on the Data Professor YouTube channel.

Exploratory data analysis 📊using python 🐍of used car 🚘 database taken from ⓚ𝖆𝖌𝖌𝖑𝖊

Comet-For-MLFlow Extension

Curso de Programación para la carrera de Ciencia de Datos de la Facultad de Matemática y Computación de la Universidad de La Habana.

In this project, i perform analysis on why customer churn and predict it using some machine learning method.

Data Science Lab Tasks 1–10 completed in Google Colab with a fully Python-based workflow.

Detailed Data Science using Python-Jupyter Notebook ( Data Analysis using Pandas and NumPy, Visualization using plotly express, Exploratory Data Analysis, Supervised ML models: Linear Regression, KNN, Logistic Regression, Support Vector Machine, Decision Trees Ensemble Models: Voting Bootstrap/ Bagging Aggregation, Unsupervised: K-Means

AI-powered full-stack rainfall prediction SaaS platform with machine learning, analytics dashboard, JWT authentication, MongoDB integration, and interactive weather intelligence features.

Personal project in which I create a time series forecast by leveraging the auto ARIMA model in python.

Analyze Claude Code source leaks, map the architecture, and document its TypeScript, Bun, agent, and security systems.

🌟 Enhance your macOS experience with OpenCode Island, a menu bar app that brings a Dynamic Island-style interface for seamless interaction with AI models.

End-to-end credit risk prediction system using machine learning, featuring data preprocessing, model tuning, evaluation, and a deployed Streamlit app.

🔒 Strengthen your passwords with this JavaScript Password Strength Checker that analyzes security and offers improvement suggestions.

Machine Learning with algorithm Naive Bayes

Extracts price of cars and formats into a csv.

Manage Claude Code CLI source for terminal coding, file edits, command runs, and git workflows in TypeScript

Analyze Claude Code’s BUDDY pet system from leaked source, listing all 18 ASCII pets, render logic, and system details

This is my personal repository!