DuKe786 (mohitmishra786)

mohitmishra786

Geek Repo

Company:Amadeus

Location:Dream

Home Page:https://bit.ly/3fzHyPn

Twitter:@chessMan786

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DuKe786's repositories

hacktoberfest-2022

Make your first Pull Request on Hacktoberfest 2022. Don't forget to spread love and if you like give us a ⭐️

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mohit-portfolio

🚀 Software Developer Portfolio Template that helps you showcase your work and skills as a software developer.

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mohitmishra786

Don't Just fork it, Star it too

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Competitive_Programming

In this repo, i have shared my solutions for all the main Competitive Programming Platform Contests and Topic Wise Questions Solutions

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My-Code-Snippets

Code Snippets that i will use during contests for saving my some seconds.

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coding-interview-university

A complete computer science study plan to become a software engineer.

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ML-and-DL

This repository gives beginners and newcomers in the field of AI and ML a chance to understand the inner workings of popular learning algorithms by presenting them with a simple way to analyze the implementation of ML and DL algorithms in pure python using only numpy as a backend for linear algebraic computations.

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Neural-Networks-from-Scratch

Neural Networks from Scratch

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Career-Recommendation-System

Building a Career Recommendation System to make suggestions for students

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covid-19-data

An ongoing repository of data on coronavirus cases and deaths in the U.S.

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Homelessness-in-Texas

Applying Data Analytics and ML Methods to decrease Homelessness

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MLOPS-Course

Free MLOps course from DataTalks.Club

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project-based-learning

Curated list of project-based tutorials

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REST-API

Created a REST API in Nodejs with MongoDB as database for creating tasks with a duration (in minutes).

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awesome-courses

:books: List of awesome university courses for learning Computer Science!

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Awesome-Decision-Science

An evergrowing, professionally curated list of resources on everything decision-making: videos, tutorials, books, papers, theses, articles, datasets, and open-source libraries.

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Resources

Inventory of all the educational content that I share on spatial data analytics, geostatistics and machine learning. I hope these resources are helpful, Prof. Michael Pyrcz

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