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.

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.

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

End-to-end Rainfall Prediction pipeline using Python. Implements data cleaning, feature engineering (Season), preprocessing, and multiple ML models (Random Forest, XGBoost, SVM, KNN, Logistic Regression, Gradient Boosting) with hyperparameter tuning, evaluation, and model comparison.

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

Provide a scaffold template to kickstart Claude Code projects with ready-made commands, hooks, and documentation for efficient development.

Machine Learning with algorithm Naive Bayes

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.

Extracts price of cars and formats into a csv.

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

🧠 Manage knowledge smartly with Claude-Code-KnowCraft, a local file-based system that integrates AI for natural language interaction and efficient learning.

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

Display clear risk levels and explanations for Claude Code permission dialogs in Japanese and English based on system language settings.