Implementation of various classification models for Pulsar Classification.
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Updated
Aug 28, 2021 - Jupyter Notebook
Implementation of various classification models for Pulsar Classification.
This mini-project entails end-to-end work on a data science problem, utilizing various classification models to determine whether psychological factors can contribute to predicting left-handedness in individuals.
Exploring various machine models using sklearn
All participations
Implemented classification models on heart failure dataset to assess the likelihood of an event that can be attributed to cardiovascular disease with R
First Machine Learning Session on Supervised Learning, Regression and Classification models for 2023/2024 GDSC SUT
Wine Classification using Machine learning algorithms
Explored Heart Failure Prediction Dataset and performed Classification and Clustering on the data using R.
Machine Learning code examples in Jupyter notebook using Python
Using Classification Models to predict Employee Attrition
The purpose of this study is to recommend whether PureLending should use machine learning to predict credit risk. Several machine learning models are built employing different techniques, then they are compared and analyzed to provide the recommendation.
Machine learning topics and projects.
This is a Machine Learning project that predicts whether a customer will stop using the product or service(Churn) based on their historical data provided by Bank
Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.
Some projects that I've worked on to harness the power of machine learning and data science 🙌🏻
This repository consists of various Machine Learning projects that I have worked on along with the dependant files and datasets.
Data Modelling on 2018 US midterm Election Data and US Demographic Data. Creating regression, classification and clustering models.
For the kaggle project - Credit Card Lead Prediction, the repository contains the deployment details, project documentation file and project link.
📊 [ML] Classification Problem Solution: Guessing the type of a corrupted file
This repository demonstrates work completed as part of the University of St Andrews, CS5011 Artificial Intelligence Practice module. Specifically, four different AI practice domains were considered: Search, Uncertainty, Logic, and Learning.
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