My submission for the DeepTraffic Competition by MIT 6.S094: Deep Learning for Self-Driving Cars

Churn Modelling Using ANN with Parameter tuning for best accuracy

Using machine learning techniques with Kepler Space Telescope exoplanet search data to train and tune classification models

Bayesian Optimisation for Parameter Tuning of the XOR Neural Network

🚀 CNN Parameter Tuning for Rocket Landing system - Coursework of Computation Intelligence at Napier University

This project aims to explore concepts that I have only read about so far, like principal component analysis. Most of these tools come from the sklearn library, so I have the benefit of exploring this useful library. We will be using the data set from the Kaggle housing competition to build a regressor model that predicts the sale price of houses.

Predict SpaceX first stage landing status, part of IBM data science professional capstone project

UK Bank, WeWashUSleep

A simple bidirectional LSTM Classifier to classify sentiments on a text. Hyperparameter tuning is done using Randomized CV Search to find best parameters for the deep learning model.

MAG Data Exploration and Predict Citations

This repository contains the codebase and resources for a machine learning-based project aimed at predicting loan eligibility for individuals. The project utilizes various algorithms and data preprocessing techniques to build predictive models that assess the likelihood of an applicant being eligible for a loan based on historical data.

Genetic Algorithms in Java. Easy to use and extensible by design

Assignments, Projects and other course related material.

BRKGA for the Home Health Care Routing and Scheduling Problem

This project is to help NASA in discovering hidden planets outside of our solar system using the data collected from NASA Kepler space telescope over nine years. To make it happen, we will create machine learning models capable of classifying candidate exoplanets from the raw dataset.

Densim is a library for efficient similarity search and clustering of dense vectors, which are numerical representations of data such as images, text, or audio.

Binary classification and Multiclass classification with pipelining and parameter tuning with GridsearchCV and RandomizedSearchCV

Automatic sklearn parameter tuning with bio-inspired algorithms

Applied ML algorithms on Enron Dataset to predict Person of Interest (POI)