Machine-Learning in Action notes

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

This repository contains the lab work of the course Machine Learning (IE 406).

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

Using k-Means algorithm and a Principal Component Analysis (PCA) to cluster cryptocurrencies.

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:

This deep learning model(CNN) uses Transfer learning by Feature Extraction and Fine Tuning in order to make multiclass-classification between COVID-19, Pneumonia and Healthy images.

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.