This repository contains code used to create Paper "Navigating Complexity: Evaluating the Effectiveness of Dimension Reduction and Clustering Approaches on Challenging Datasets" as a Bachelor's thesis for EUR.

Implementing the Johnson Lindestrauss Lemma for a dimensionality reduction based technique for high dimensional dataset

Unsupervised and supervised learning algorithms performed on facial landmark coordinates data.

Using machine learning to predict medical appointment no-shows

This repository is dedicated to ML.

A notebook benchmarking a recently developed Dimensionality Reduction technique using Siamese Networks supporting both supervised and unsupervised modes.

Notebook version implementation of unsupervised learning techniques. Analysis and Visualization.

My pipeline for applying PCA for 'endocrine profiling'

Autoencoder dimensionality reduction, EMD-Manhattan metrics comparison and classifier based clustering on MNIST dataset.

This repo contains implementations of various Machine Learning Algorithm with R Programming Language.

This repo contains some ongoing studies about Data Science.

Implementation of data preprocessing techniques

Parkinson’s disease classification using speech signal features; comparison of various multiclass classification algorithms

Code from scratch and using Scikit-learn for various ML algorithms

Unsupervised learning

Data Mining and Predictive Analyst - Fall 2021 - Predictive Modeling, Loss Reduction, Optimization Algorithms, Regularization (Ridge, Lasso, Elastic Net), Dimensionality Reduction, Ensemble Models, Bootstrap Aggregation, Random Forests, Support Vector Machines (SVM), Neural Networks.

This repo contains projects and assignments from my Data Science + Machine learning courses.

Class-driven approach to dimension embedding

The repository tries to cover all the concepts of ML models from basics, individually.

Colorectal cancer (CRC) is the second most dangerous type of cancer in terms of causing deaths in patients and third most common type of cancer found in people in terms of incidence. CRC can be further categorized based on its molecular subtypes. Each subtype displays different features. Thus, identifying molecular subtypes of CRC and treating p…