Projects
Airflight delay prediction
The Air Flight Status Analysis and Prediction project is focused on understanding and predicting the status of air flights using historical data. The project utilizes PySpark, a big data processing framework, to handle large datasets efficiently. The primary goal of this project is to analyze flight data and build predictive models that can determine various outcomes, such as flight delays, cancellations, and other status-related metrics.
January 17, 2024
Car Evaluation Analysis
Decision Tree Algorithm to predict the acceptability of a car based on its attributes such as price, maintenance cost, number of doors, luggage boot size, and safety rating. I will be using the Car Evaluation Dataset obtained from UCI Machine Learning Repository. Visualization of the correlation matrix between the features in the car evaluation dataset and Prepruning and Decision Tree Implementation
August 26, 2023
Cardiovascular Diseases Analysis
This project centres around the analysis and prediction of heart disease using the Heart Attack Dataset, which comprises a comprehensive collection of health attributes from over 900 patients. The goal is to explore and analyze these data points to uncover patterns that can predict cardiovascular risks and assist in making informed medical decisions
July 01, 2023
Football Analysis with Deep Learning
The project aim is to detect entities in a football game using advanced deep learning techniques, to track the entites detected in real-time and represent them in a two dimensional map, and finally extract row data for further analysis.
June 12, 2023
NLTK for Sentiment Analysis
Natural Language Processing Python Project creating a Sentiment Analysis classifier with NLTK's VADER and Huggingface Roberta Transformers. The project is to classify the seniment of amazon customer reviews.
May 15, 2023
Credit Risk Analysis
This is a classification project that aims for predicting credit risk or in simpler terms will help the companies to predict bad loans. Predicting the credibility of a loan is very useful in the Banking business. Using machine learning will help to decide, whether to approve a loan or not by accounting for the risk value based on historical data.
April 28, 2023
GPT-2 to Generate Netflix Description
This model is based on the GPT-2 language model architecture, which is designed to generate coherent and contextually relevant text. The model takes in a sequence of text (in this case, a Netflix show description) and tries to predict the next words in the sequence.
Aug 18, 2023
Implement a Chatbot
Implement a chatbot from scratch that will be able to understand what the user is talking about and give an appropriate response.
May 4, 2024
EDA Football Transfer Window (Juventus 2022)
Very basic and simple exploratory data analysis (EDA) for main transfers to top leagues in the current summer transfer window, some teams investing a lot of money to be at the top for the upcoming season. Let's answer some question by using different graphs and charts .
Jun 14, 2024
English Premier Leauge Match Prediction 2021-2022
Predict match winners in the English Premier League (EPL) using machine learning, how to prepare data for machine learning, work with time series data, measure error, and improve your model performance.
Sep 22, 2024