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नमस्ते | Namaste

Hello, I'm Sushant

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TOP NEW PROJECTS

0. Spam Detector

  • Description: Spam-Detection Model Trained using Data Science and Machine Learning and Deployed online..

1. Shopping Simulation

  • Description: Shopping simulation: a user-friendly, text-based program in C for managing customer details, calculating discounts, handling billing, and operating like point-of-sale (POS) software.
  • Click To Deploy

2. Voice Enabled Temperature Sensor

  • Description: A hands-free voice enabled device that tell the current temperature.

3. University Management System

  • Description: University Management System Webpage

4. Data Science and Statistics

  • Description: Mathematics, Me, and Data🔥.

coding


Software Engineer

  • 👨‍🏭 A B-Tech undergrad majoring in CSE
  • 🏫 I’m currently learning R-Programming, Java, Linear-Regression, Machine Learning and Cyber Security
  • 🙌 Trying To Get Freiendly With Popular Environments
  • 🥅 2024 Goals: **To make Live Projects

  • 🎯 "I love challenges because everything that kills me makes me feel alive."

🕵 Take a look at my repositories and let's get in touch!

Connect with me

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Languages & Technologies
HTML5 CSS3 JavaScript Python C++ PHP Mysql SCSS Selenium Jquery Jquery Jquery



Tools & Softwares
Visual Studio Code GitHub Desktop Terminal GitBash Wordpress Orcle 10g Bootstrap Pycharm Ubuntu Postman MongoDB



Learning Sources
Google W3school gfg Udemy Codepen YouTube coursera coursera coursera coursera




Github Stats:


GitHub Streak

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Last Update on: 27 Feb 2024


Sushant's Projects

animal-classifier-app icon animal-classifier-app

Cat and Dog Image Classifier : Develop an image classification model to distinguish between images of cats and dogs using data science techniques in Python.

hackerrank-solutions icon hackerrank-solutions

Solutions to all the questions that is required to pass the CSS, JS, Python test on Hackerrrank

java icon java

The Complete Journey of 99% Object Oriented Programming

linear-regression icon linear-regression

This project takes an Excel file input from the user, applies linear regression on the sample data, generates a chart of regression analysis, finds the line of regression on two variables, provides predictive analysis, and returns the coefficients.

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