How to write your own code for cross validation

Bi and Big Data Analytics, sparkR, Supervised and Unsupervised Machine Learning techniques The project's aim is of applying a supervised and an unsupervised machine learning technique on a dataset to test different models/scenario, interpret the results, perform predictions for each model and visualised the results.

This is a model of Support Vector Machines, which comes under Black Box Method along with neural networking and works on the concept of Hyperplanes.

The study involves predicting the attrition rate of ~72000 customers of a Telco company, and use insights from the model to develop an incentive plan for enticing would-be churners to remain with the firm. The data are available in one data file with 71,047 rows that combines the calibration and validation customers. “calibration” database consi…

Analytical Solution for Linear Regression with one predictor

My R data science 2023 project that predicts coronavirus disease (covid19) hospitalizations, cases and fatalities in Chicago, IL.

Batch Gradient Descent for Supervised Machine Learning

Repository containing scripts to explore, train, and ultimately predict the whether an individual is eligible for a mortgage loan

Building a Logistic Regression model using R

Project in R developing a restaurant review classifier that makes predictions as positive or negative integrated with a Rest API in Node.js.

The client, a financial service institution, want to increase revenue streams and intents to target a segment of their customers who are most likely to default on the loans/Credit taken. We try to solve this problem using Logistic Regression Model.

Repository containing scripts to explore, train, and ultimately predict the voter proportions in each US county.

Assignments in bayesian networks and supervised machine learning/linear regression within Advanced AI course in my master's program.

Decision tree algorithm demonstration

Predicting Time of Arrival for Food Delivery Service

To explore supervised machine learning

Identify the most important variables that contribute to the level of sustainability of schools using supervised machine learning. Use the importance to assign a weight to each characteristic and calculate a sustainability index for each school.

Supervised learning models, an assignment from the Data Science and Advanced Analytics course from the Big Data & Analytics Masters @ EAE class of 2021

Notebook used to evaluate various machine learning models used to predict white wine quality.