smeet97kathiria's Projects
This Project demonstrates the implementation of MVC design pattern along with covering concepts like multi screen navigation, pass by reference/value, nil coalescing, optional binding, chaining, Autolayout
This is my version of the iOS concentration game taught in Stanford CS193 course. This project shows the implementation of the UI programmatically. The UI also supports layouts of all screen sizes. Stack views, size classes, trait collections was used to implement autolayout functionality by code.
Implemented Apriori Algorithm and Brute Force Approach from scratch in python without any libraries for frequent item set mining.
This Repository contains sql solutions to questions available on https://www.sql-practice.com/
Developed a classification methodology to determine whether a person defaults the credit card payment for the next month.
This repository contains final project for DM class.
This repository contains code file for the project which was done in my ML-675 course. The project uses kaggle dataset of house prices to predict the sale prices on test data.
Image scrapper with selenium web driver implemented in python.
This is a project for deep learning class where I built a Convolutional neural network for malaria detection from cell images. The solutions to HW for deep learning class 332:435 at Rutgers University can be found below
This project demonstrates the export of data from mysql-database to REDSHIFT using kafka, s3, pyspark.
This repository contains code for an ETL application developed using python, flask and using postgres as a database.
The official repository for the Scala 3 & Functional Programming Essentials course
The repository for the free Scala at Light Speed mini-course
Config files for my GitHub profile.
The official repository for the Rock the JVM Spark Essentials with Scala course
This app allows user to calculate tips among group of people and tell individual amount to pay for each person.
Developed a system that does real-time sentiment analysis on tweets based on the user-given topics using spark streaming, Hadoop and Spark machine learning library, and Twitter API.
This project demonstrates the implementation of Dark mode, Custom UI Alerts Protocols, Delegate Design Pattern,HTTP request with URLsession,parse JSON with native JSONDecoder, computed properties, closures and extensions.