Discover @Kunal1198 Open Source projects

Kunal Bhoyar (@Kunal1198)

Kunal1198

Stars
76
Global Rank 253,381 (Top 9 %)
Followers 19
Following 3
Registered over 6 years ago
Most used languages

Jupyter Notebook
52.9 %

Python
17.6 %

Java
11.8 %

CSS
11.8 %

HTML
5.9 %
Location 🇮🇳 India
Country Total Rank 8,526
Country Ranking

CSS
250

Jupyter Notebook
2,816

Python
8,236

Student-Management-System-Django

It is an online Student-Teacher portal wherein teachers can upload various assignments related to their subjects which the student can download.

Live-Stock-Market-Rates-Tkinter

Implemented real time and historical data in JSON through API to fetch stocks and currency data thus rendering the live details on GUI.

Wine-Quality-Prediction-ML

Used Multiple Linear Regression which will predict the quality of wine using 11 features.

Jupyter Notebook

Django-REST-API

Django REST framework is a powerful and flexible toolkit for building Web APIs. In this we building a REST API in Django.

Data-Cleaning-with-Pandas

The main aim is to clean the data with pandas library.

Jupyter Notebook

Django-Chart.js-LiveQnA

Live Q/A Session where the organizers can ask questions through the app and the Audience/Users Answers can be seen in live Graph.

House-Price-Prediction-ML

The objective is to build a regression model to predict the price of houses.

Jupyter Notebook

Customer-Category-Prediction-ML

Supervised Learning Problem. In this categorizing the customers in four groups, as follows: 1- Basic Service 2- E-Service 3- Plus Service 4- Total Service.

Jupyter Notebook

Notepad-Android-App

Android Notepad App

Rating-System-Django

It is a portal wherein the graduated students of Mumbai University can rate other engineering colleges of the same university on the Infrastructure, teaching faculty, Placements and many others.

Live-Stock-Rates-Django

Implemented real time and historical data in JSON through API to fetch stocks and currency data thus rendering the live details on GUI.

Kunal1198

Kunal Bhoyar Portfolio

Exploring-Ebay-Car-Sales-Data

Jupyter Notebook

Simple-Login-App

Simple Login App using Android

Analyzing-CIA-Factbook-Data-Using-SQL

Analyzing CIA Factbook Data Using SQL

Jupyter Notebook

Classification-of-Retailers-ML

This is a Unsupervised Learning Problem. The objective is to Classify the Retailers as Category A, B & C. Category A retailers are one who place regular orders and Category C are one who place irregular orders.

Jupyter Notebook

Analyzing-Google-and-IOS-Apps

The aim of this project is to find mobile app profiles that are profitable for the App Store and Google Play markets.

Jupyter Notebook

Exploring-Hacker-News-Posts

The main aim of this project is to compare two different types of posts from Hacker News (a popular site) where technology related stories are voted and commented upon.

Jupyter Notebook