Machine Learning Practices

Johns Hopkins Bloomberg School of Public Health Data Science Specialization Program: Developing Data Products Course Project: A Shiny Application repo: date created 70227

In this project, we'll build our first neural network and use it to predict daily bike rental ridership.

Can Risky Behaviors Predict Academic Achievement?

In this project, we'll generate our own Simpsons TV scripts using RNNs. We'll be using part of the Simpsons dataset of scripts from 27 seasons. The Neural Network we'll build will generate a new TV script for a scene at Moe's Tavern.

Word Prediction App for Coursera

A random forest classifier to recognize handwritten digits

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

Predictive modelling with Titanic dataset from Kaggle

Introduction to LIME

InstaCart Market Basket Analysis

This repository includes code for a predictive model I created which classifies counties that Trump won and a data exploration tool that plots the Trump county score along with a number of demographic variables over a county-level map of the US.

This repository contains solutions to marketing problems using statistical analysis

This repository is my portfolio for data science and covers my personal projects.

Regression analysis in r: The base data from this assignment came from kaggle's inpatient discharge dataset. Within this assignment I had to split my data into train and test datasets and build regression models to facilitate them. Used k-crossfold validation to select the best model through the lowest MAD score. Tested for violation of constant…

Agricultural department festival Prakriti - 2018 Data Analytics PS

Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)