soumithvarmak Goto Github PK

can-it-be-done-in-react-native

⚛️ 📺 Projects from the “Can it be done in React Native?” YouTube series

house_price_prediction

analyzing a house price predication dataset for finding out the price of a house on different parameters.

javascript

JavaScript Style Guide

knapsack_problem

Knapsack problem

kommunicate-ui-developer-test

kommunicate_ui_developer_test

meraki-whatsapp-chatbot-enactussrm

Automating Whatsapp Web to send a message along with media files to several Contacts and also to reply to new messages using Selenium Python.

node-to-rust

online-mobile-recharge-application

Code we used for building Online mobile recharge application using java and XML on Android Studio

polynomial-regression

powerbi_timeline_analysis_covid-19

I have used Python and Power BI in order to create a CoronaVirus Report with summary statistics, trends and forecasts.

powertoys

Windows system utilities to maximize productivity

predict_loan_eligibility

Loans are the core business of banks. The main profit comes directly from the loan’s interest. The loan companies grant a loan after an intensive process of verification and validation. However, they still don’t have assurance if the applicant is able to repay the loan with no difficulties!

public-apis

A collective list of free APIs

react-navbar-v3

Created a simple React Navbar with 3 different variations

react_web

review-man_fsd

This is my first FSD project in which I've used react.js and CSS and a bit of html

rookiemate

sound_detection

student_marks_predictor

Predicting the marks of a student based on the no. of study hours done Using simple linear regression model, Code can be used for forecasting the marks of a student based on the numbers of hours studied per day. Using Python (Google Collaboratory)

support-vector-regression

terrorism_eda

Performing exploratory data analysis on the data set to find the hot zone of terrorism

udemy-portfolio

weather_forecast

Finding the reports of the weather in a graphical pattern, encoding the necessary with different python tools and finally train with different machine learning tools to produce output which could serve as the target that is the same as daily summary when new data comes into play.