Files relevant for my bachelor thesis on different automatic emotion recognition approaches

Proyecto de investigación en ML para identificar factores genéticos en pronóstico de lesiones pre-tumorales. Aprendizaje no supervisado para discernir perfiles genéticos distintivos entre grupos de buen y mal pronóstico, mejorando detección y tratamiento temprano del cáncer.

This study assesses the impact of sentiment analysis on predicting customer churn in e-commerce, comparing models with and without customer feedback to identify the most accurate predictive approach.

Machine Learning Algorithms

User experience for subscription model of Financial Application

This repository contains classification model for insurance claim

Compendium of free ML reading resources

High-performance, Composable framework for Fully On Chain Games and Autonomous Worlds

We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.

Solution Paths of Sparse Linear Support Vector Machine with Lasso or ELastic-Net Regularization

NLP & Classification exercises and projects done at alx training

Machine Learning

This repository contains a comprehensive guide and implementation of ensemble modeling techniques, specifically focusing on Boosting, Bagging, and Voting. Ensemble methods are powerful techniques in machine learning that combine the predictions from multiple models to improve overall performance and robustness.

MlFlow Project creating pipelines and using Grid-Search Cross Validation to find optimal parameters for Old School Runescape Machine Learning datasets.

This repository contains implementations of various machine learning algorithms from scratch (KNN, MSE Linear Regression, SVM, Neural Networks, Logistic Regression). Each algorithm is implemented in Python and is contained in its own directory.

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Batch Name: MIP-ML-11 (Machine Learning Intern)

Sign Language Detection & Translation Web App

This repository is about a trained Machine Learning model which predicts Whether the Heart Disease is present or not by considering few factors. This ML model is selected by considering different accuracies of various trained ML models.

Code associated wth the InterpretE research paper