Clustering for water treatment dataset with using k-means and hierarchical clustering methods

K means implementation

Animations of how perplexity affects t-distributed stochastic neighbour embedding for dimensionality reduction.

A Machine Learning model that recommends/suggests movies to the user according to their preferences.

Predict the correct class for each object in Cifar-10 dataset using Tensorflow and implementing Convolutional Neural Network

Unsupervised Learning: Identify Customer Segments
 - Principal Component Analysis and Clustering

This repository contains an implementation of the K-Means clustering algorithm in Python. K-Means is an unsupervised machine learning algorithm that finds clusters in an N-dimensional space. The implementation provided in this repository allows users to apply K-Means to their own data sets and visualize the resulting clusters.

Developed for the capstone project of TI4141 Data Analytics course, Industrial Engineering @ ITB

What I taught myself about Machine learning

In this project, the tools used are unsupervised learning (K-Means Clustering) accompanied by 3-D HVPlot visualizations to group cryptocurrencies by feature

Use unsupervised machine learning, PCA algorithm, and K-Means clustering to analyze and classify a database of cryptocurrencies.

Project on unsupervised learning

Collaboration with TSMC

A comparison of centroid-based, density-based and hierarchical clustering algorithms

Course Work on Machine Learning covering Supervised and Unsupervised Algorithms

This is a basic repository which contains a simple application of machine learning algorithms and some statistical methods for data analysis

Analysis employees' work-life balance

This Repository provides the basic code snippets for all the most widely used ML Algorithms like Supervised, Unsupervised, and Recommender system algorithms.

In today's competitive business landscape, understanding customer behavior is paramount for marketing success. By gaining insights into customers' unique personality traits and preferences, companies can tailor their strategies to boost engagement and conversion rates.