Sampath's Projects
ShoeFly.com is performing an A/B Test. They want to know how the two ads are performing on each of the different platforms on each day of the week.
In this project I have built a regression model to predict the chance of admission into a particular university based on the student's profile
I have analysed airfare data covering the top 1,000 contiguous state city-pair markets and have identified key trends
A basic machine learning model to train on a model consisting of various ATP statistics of all tennis players around their world. Utilized Linear Regression for training and building a model for Prediction.
In this project I have used Advanced DeepLearning techniques with keras to predict the probability of win and lose of college basketball tournaments.
Data Analysis for National Park Service. Analyzed data on Endangered species from several different parks.
Queries performed on a sample music DataBase called Chinook using SQL for revision purposes. The database schema diagram can be found in the website attached.
Specifying a conda environment with `environment.yml`
CoolTShirts, an innovative apparel shop, is running a bunch of marketing campaigns.In this project I have performed Atrributions using SQL.
The 3rd edition of course.fast.ai
I have created a Tableau dashboard with 6 visualizations to analyze and understand effects of Covid-19 Globally and in United States
A Portfolio Project which involves various SQL Queries and Tableau representations for Covid Cases across the globe
A parallel Machine Learning application in Amazon AWS cloud platform built to predict the quality of Wine utilizing Apache Spark.
Cracking the Coding Interview 6th Ed. Python Solutions
Draft of the fastai book
A short Visualization on FIFA World Cup matches varying from the year 1930-2014. Analyzed trends and discovered insights about the worldโs game, fรบtbol!
A fun Flappy Bird game for Android using Java.
Salary Prediction Machine Learning model based on data scraped from GlassDoor
Coding Files for my GitHub profile.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Analyzed the data on median estimated values of single family homes by zip codes from the past two decades.
A simple Linear Regression Model which predicts the production of honey in the upcoming years and factors which contribute to its productivity.
Developed a website for reservation and management of rooms and services in a hotel. Designed the Database Entity Relationship and Relational Model diagram based on the requirement.
This is an Image classification model using keras to classify cats and dogs
Lab Materials for MIT 6.S191: Introduction to Deep Learning