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

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

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.

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.

Classifier des mails avec des outils ML

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

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

This repository contains code and solutions for the Data Mining project, which applies various techniques and methods to different datasets. The project covers data preprocessing, dimensionality reduction, regression, classification, and association rule mining.

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

The objective of this challenge is to accurately predict the soil moisture level multiple days in advance. This solution will help farmers prepare their irrigation schedules more efficiently

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

PySpark Python ML Models

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

KNN and Decision Tree