Implementing a single hidden layer neural network and improving the model by increasing the number of hidden nodes

Solved a murder case presented to Sherlock Holmes based on a murder case description.

Implemented PCA and predictive modelling on a super market sales data based on items.

Testing embedding a Tableau workbook in an R Markdown Document

The objective of this project is to use information from collected profiles of teens using Social Networking Service (SNS) and segment them according to appropriate clusters.

Used basic web scraping on html table and used motion chart for visualization

Using xgboost to predict poisonous mushrooms, evaluating the model with several evaluators, and ultimately tuning some of the common parameters to achieve 100% accuracy.

This project aims to develop a model similar to those used at the core of the Optical Character Recognition (OCR) using Support Vector Machines. Paper-based documents can be processed by converting printed or handwritten text into an electronic form to be saved in a database.

This project aims to develop a reliable model using Artificial Neural Networks (ANN) to predict concrete strength given a list of composition inputs.

This project aims to use regression trees and model trees to create a system capable of mimicking expert ratings of wine.

The goal of this project is to use patient data to estimate the average medical care expenses using regression for provided population segments.

The objective of this project is to develop a simple credit approval model using the C5.0 decision tree algorithm.

Used Naive Bayes to filter through more than 5,000 SMS as either Spam or Ham (non-spam) using Naive Bayes Classification.

Project on detecting breast cancer from measurements of extracted suspected tumour from 569 patients. Dataset from Wisconsin Breast Cancer Diagnostic

My first Kaggle project with the help of Trevor Smith.

The output of my one day challenge from Fidelity International

Iris dataset classification