an implementation of a Radial Basis Function Neural Network (RBFNN) for classification problem.

Diseases Prediction System though Machine Learning with code and documents

End to end implementation and deployment of Machine Learning Car Price Prediction using python, flask, gunicorn, scikit-Learn, etc. on Heroku web application platform.

PSO feature selection improves classifier performance. Implemented in Jupyter Notebook with pandas, numpy, scikit-learn. PSO done from scratch. Results compared using accuracy, precision, recall, F1 score. Improves results compared to using all features. Can be applied to various classification problems.

Implementation & Learning of Compression of Image through use of K-means Clustering Algorithm

Implements a genetic algorithm to select the most impactful features in a dataset to improve classifier performance. Written in Jupyter Notebook using pandas, numpy, scikit-learn. Results displayed with accuracy, precision, recall, F1 score comparison to using all features.

First exercise on simple linear regression and working with numpy and scikit-learn

Classifier des mails avec des outils ML

We solve a regression problem in which it consists of calculating the health insurance charge in the United States Where we will break down the project into 5 phases: Exploratory Analysis. Feature Engineering. Selection of the ideal model. Development of the final model. Creation of a web application in streamlit.

Machine Learning model development for a transport company, the objective is to predict whether an order will arrive on time or not.

Trying to use power of machine learning to predict stock prices

A Website powered by Machine Learning to find the shortest and safest route dynamically, based on traffic changes for Delhi Metro Services.

Sentiment Analysis Using Bert Transformer

This ML model predicts the medal count for various countries in the Olympic Games using Linear Regression.

NLP repository with projects like Article Classifiers, Recommender Systems and Text Processing

PySpark Python ML Models

A repository housing a CNN model for text recognition, implemented in Python with TensorFlow and OpenCV.

a maching learning model to automating the detection of spam in emails

Distributed System Fault Diagnosis System based on Machine Learning

Welcome to the world of Speech Emotion Recognition (SER) in Python! This project aims to harness the power of machine learning to detect and classify emotions from spoken language. Whether it's joy, sadness, anger, or any other emotion, our SER model, built using Python libraries and deep learning techniques, can understand and differentiate them.