This project is machine learning model that classifies credit scores using the RandomForestClassifier algorithm from scikit-learn.

This project includes both Diabetes Prediction using Machine Learning Algorithms and Graph Analysis using Neo4j. Have a look at the Report for complete understanding.

This project revolves around the analysis and prediction of customer churn using a dataset sourced from Kaggle. The dataset underwent thorough cleaning in Python to address missing values, invalid data types, and normalization tasks. The analysis was subsequently visualized using Power BI. Lastly, a Random Forest model was employed for prediction,

Diabetes Prediction: Using machine learning to classify individuals as diabetic or non-diabetic based on health data, enabling early intervention and improved healthcare outcomes.

My Python learning experience 📚🖥📳📴💻🖱✏

Machine Learning concepts and models like SMOTE, RandomForest Classifier, Decision Tree, K-NN, and Logistic Regression were first implemented without any ML libraries.

En este repositorio se almacenan los diferentes cuadernos utilizados a la hora de programar los algoritmos de ML utilizados para el estudio y realización del TFG

The Heart Disease Predictor is a Python project developed to classify whether an individual has heart disease based on specific input parameters. It utilizes the scikit-learn and NumPy libraries for implementation.

Este projeto visava criar um sistema de reconhecimento de sinais de Libras em tempo real, utilizando técnicas de aprendizado de máquina e visão computacional. Inicialmente, foi empregada a detecção de mãos com o MediaPipe Hands e a classificação dos sinais com RandomForestClassifier.

Repository for simple tool to work with fasta, fastq files and bio seqs

Predicting employee attrition using machine learning model

Machine Learning Algorithms

Titanic Survival Prediction: Jupyter Notebook demonstrating Random Forest Classifier for survival prediction on Titanic dataset.

Python Machine Learning Projects | Hands-on Experience...

A parser for scikit-learn exported text models to execute in the Java runtime.

Website to explain the working of Cyberbullying detection and prevention app in social media

NLP Project using TF-IDF & RandomForestClassifier

Deep Learning vs Tranditional ML methods for TB Drug Resistance prediction from Genomic data

Analyze trends in overturning insurance rejections over the years. Used RandomForrestClassifier to predict if an insurance company rejection of coverage will be overturned.