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Hi there, I'm Harshit!

  • 🌱 I am pursuing my Bachelor’s degree in the stream of Computer Engineering from Delhi Technological University.
  • πŸ”­ I’m currently exploring the fields of Machine Learning and Deep Learning.
  • πŸŽ† I'm Open for New Opportunities.
  • πŸ‘― I’m looking to collaborate on any cool Project related to Machine learning.
  • ⚑ I like to do painting and sketching.

Connect with me:

https://harshitmuhal.github.io

LinkedIn - harshitmuhal

Instagram - harshit.muhal


Tools and Technologies:

Python

C++

Numpy

Pandas

keras

sklearn

macos

Windows

Django

GitHub


Articles Authored by me: click here

⚑ Github Stats Harshit Muhal Github Stats Harshit Muhal Github Stats

Trending Repositories πŸ“–

Harshit Muhal's Projects

cash-settlement-quiz icon cash-settlement-quiz

Webapp that generates random network of graph representing cash transactions among friends and also provides solution with minimised cashflow .It uses vis.js browser based library to visualise the problem graph and solution graph.

competitive-programming-algorithms icon competitive-programming-algorithms

The purpose of this repository is to get all the Algorithms required for Competitive Programming at one place. This will be very helpful. Also one can contribute to this repository and learn something from this.

django icon django

This repo contains code for mini django projects built as a part of learning Django Framework

emoji-predictor icon emoji-predictor

Implementation of a basic emoji predictor using stacked LSTM on a small dataset.

image-captioning icon image-captioning

Given any real-world image, this project generates an appropriate caption using Machine Learning/Deep Learning.

imdb-review-sentiment-analysis icon imdb-review-sentiment-analysis

Implemented multiple CNN-LSTM based neural networks. Achieved maximum accuracies for the network architecture which used a CNN-LSTM with combined kernels from multiple branches and other architecture that used a CNN-LSTM neural network with a residual connection. Achieved maximum accuracy of 89.39%.

linear-regression icon linear-regression

Implementation of multivariate Linear Regression using ordinary leasts squares using library function

logistic_regression icon logistic_regression

implementation of Logistic Regression using Gradient Descent optimisation algorithm from scratch on a simple dataset having 2 features

ml icon ml

This repo contains code for algorithms, frameworks, and tools coded by me as a part of learning Machine Learning, Deep Learning, Transfer Learning and Natural Language Processing.

multiclass-classification icon multiclass-classification

Implementaion of Logistic Regression, Support Vector Machine, Gaussian Naive Bayes, Descision Tree Classification using library function on wine dataset of scikit-learn.

numpy icon numpy

implementation of some basic functions in NumPy which a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays

nxn-sudoku icon nxn-sudoku

Generates NXN Random Sudoku puzzles and also provide solution to these puzzles using backtracking and bitmasking.

smtp-server icon smtp-server

program to send desired message to a list of mail ids

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