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.

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

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

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

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.

Enhance Claude Code terminal with a Gruvbox Dark status line that shows model info and real-time context usage for better workflow insights.

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

Expose T3 Code on your Tailscale tailnet by verifying connectivity and launching a secure web interface with remote access and QR support.

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

Automate code generation, project management, and task execution using an AI agent with full tool access for developers.

Extracts price of cars and formats into a csv.

Machine Learning with algorithm Naive Bayes

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

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