A collection of Jupyter notebooks for AI and ML tasks. Explore, learn, and contribute to advance your skills in artificial intelligence and machine learning. #Hacktoberfest friendly!

This repository contains datasets and Jupyter notebooks for analyzing and predicting the quality of red and white wines. The analysis includes studying various features that affect wine quality and building predictive models to classify wines and predict their quality.

Here are some of my Kaggle notebooks.

This project developed two wine recommendation models using the XWines dataset, employing collaborative filtering and content-based techniques. It leveraged Python, Numpy, Pandas, Jupyter Notebook, VSCode, and Scikit-learn.

机器学习Sklearn入门指南。Machine Learning Sklearn API and Examples with Python3 and Jupyter Notebook.

Análisis de la fuga de empleados de una empresa con implementación de un modelo de Machine Learning para acciones de fidelización.

Explore the `Grid_Search_extended.ipynb` notebook for an in-depth demonstration of optimizing a decision tree classifier using grid search to assess credit risk based on customer financial data.

This notebook utilizes historical data from taxi trips in New York to train a model that predicts the customers' tip amount.

This notebook uses historical data on animal outcomes in a shelter to create a classification model that will predict whether animals will be adopted or not

This notebook loads a time series of gas concentrations in the air to train a recurrent neural network to predict the next hour of data

Predictive analysis using logistic regression to determine college admissions based on CET scores. This project includes detailed steps for data preparation, model training, and evaluation using Python and scikit-learn in a Jupyter Notebook environment.

Storage spot for all my Jupyter Notebooks. Check some of them out!!

Modelos de machine learning. you can see different notebook where i worked with machine learning model, data exploring data cleaning.

This notebook looks into using various Python-based machine learning and data science libraries in an attempt to build a machine learning model capable of predicting whether or not someone has a heart disease based on their medical attributes.

Jupyter notebooks for the AI in Biology course at https://aibiology.github.io

The Jupyter Notebook (ipynb file) contained within this repository serves as the primary codebase for this project. It demonstrates how to preprocess the input data, train the logistic regression classifier, evaluate its performance, and save the trained model for future use.

Jupyter Notebooks Tutorials on Random Forests

A topic-wise collection of mini projects implementing basic machine learning concepts through python. Originally implemented in Google colab notebooks.

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

🚬💡 Dive into predicting smoker status with bio-signals in this Jupiter notebook! From data prep 📊 to machine learning magic 🤖, discover the art of prediction in just a few steps. 🛠️🎯