This is a solution to a Kaggle competition on predicting claim severity for Allstate Insurance using the Extreme Gradient Boosting (XgBoost) algorithm in R

Contains code to run and visualize techniques like Clustering, PCA, Generative Modeling on publicly available data.

The Aim of this Project to Predict the Popularity Of Online News Articles from their different features.

My projects and practices on various segments of machine learning and deep learning.

Using Support Vector Machine, Random Forest, Principal Component Analysis to learn *what makes an app great*

Principal Component Analysis theory and use case on toy data

PCA implementation in python

Adaptação do Desafio Final do Bootcamp Analista de Machine Learning do IGTI com ingestão de dados no MySQL e análise de dados armazenados com Python

Cryptocurrency analysis using unsupervised machine learning.

Model to classify phishing sites

Anomaly detection for building HVAC data.

This project classifies multiple images into their respective categories with the help of an efficient Classifier

Unsupervised clustering of a retail store's customer database to perform Customer Segmentation and Profiling.

Used libraries and functions as follows:

Machine Learning assignments from coursework.

An end-end ML project (covering from data understanding, data exploration, etc.) that builds an ML model to predict the malignancy of breast cancer using the breast cancer wisconsin (diagnostic) dataset from sklearn toy datasets.

This repository encompasses my research conducted at the CPS Lab, South Campus, University of Delhi, during my tenure as a research intern. The focus of our study involved identifying unique phenotypes of complications arising from myocardial infarction using k-means clustering. and this dataset is taken from UCI repository