Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.

Abstract: The S&P500 is difficult to predict. Multi-factor models provide a useful framework for making returns predictions and for controlling portfolio risk. This paper explores a three-step process in predicting PCA and Autoencoders factors to generate multi-factor models from the S&P500 component securities.

Analysis on hospital readmission data for diabetic patients using R and Tableau

JED is a program for performing Essential Dynamics of protein trajectories written in Java. JED is a powerful tool for examining the dynamics of proteins from trajectories derived from MD or Geometric simulations. Currently, there are two types of PCA: distance-pair and Cartesian, and three models: COV, CORR, and PCORR.

Development optimal classifiers to predict the positions of the user based on the RSSI readings from iBeacon devices

All sorts of data science & computer science programs for future reference

Context: Customer behavior prediction to retain customers

We aim to create ML models that outperform the provided Actual ETA in predicting true arrival times based on the outsourced mapping system. This improves strategies in informed logistics planning.

A Gender Classification App with Prediction Score and Eigenvalue Face Analysis Using Open CV

Github Repo for CSE 573 project : Document Clustering and 3D Visualization

Proyectos de Machine Learning con SPSS Modeler

This Repository contains the projects which are part of Udacity Machine Learning Nanodegree

Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.

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Coursework of Machine Learning - INFX 574

Analyzing through data why Naples won the Championship

All the Data Analysis exploration projects will be present here either as jupyter 📓 or 🐍 code.

The project aim to inform the marketing department on the most relevant marketing strategies that will result in the highest no. of sales (total price including tax).