Name: Fenil Parmar
Type: User
Company: Dalhousie University
Bio: Competitive Coding,
Software Engineering
Machine Learning,
Data Science
Twitter: 11fenil11
Location: Toronto, Ontario, Canada
Blog: https://www.linkedin.com/in/fenilparmar
Fenil Parmar's Projects
This repository contain all the codes thoroughly implemented by me in 30-Day LeetCoding Challenge.
In my bachelors of information and technology at vishwakarma goverment engineering college, I implemented various algorithms to enhance my theoretical knowledge and applied it to practical solution.
This project is focused on predicting the sales of different products during the Black Friday event using machine learning algorithms. We have used the XGBoost, Decision Tree Regressor, Random Forest Regressor, and Linear Regression algorithms for the prediction.
Source Code Examples
This Repository will contain the solution of the coding problems from different Coding Platform sites like CodeForces, Hackerrank, Codechef and also Coding Competitions like Google Kickstart, Google Codejam, TCS codevita, etc.
:wave: On here you can contribute your codes across the globe :smiley:
COVID-19 sequence compression using shannon-fano compression technique.
Covid-19 detection in chest x-ray images using Convolution Neural Network.
A JAVA Based Distributed Database Management system on Virtual Machines
Repository to store static data for university project UI.
TensorFlow examples
Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn
Trained Fake News Detection model on massive news dataset comprising 878218 records. The dataset contains features like text, clean title, number of upvotes, comments, score, upvote ratio.
Website for cleaning service company based in Australia.
Game using advance java concept
Google Kickstart Solutions. Google Kickstart is most competitive coding competition organized by google to find best talents all over the world.
Java Graphical User Interface application which contain 6 type of sorting algorithms.
A web platform where investors can find start-ups from different sectors and will be able to invest collectively (to reduce risk) or singularly. Innovators and start-ups will be able to present their work on the platform to attract investors to raise investment.
During Learning phase of machine learning I have created these Jupyter Notebooks.
This repository contains the source code of our pacman game which is made in C++ language.
Community driven, cloud computing based web application to share photos.
Web application using Spring Boot and Vue for online selling, donating, and trading the plants.
Tutorials and programming exercises for learning Q# and quantum computing
jcps with java