dheeraj-2000/Applied-Plotting-Charting-and-Data-Representation-in-Python

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dheeraj-2000/Applied-Plotting-Charting-and-Data-Representation-in-Python

dheeraj-2000

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dsalgo

Contains Algorithms useful for interview preparation, various practice problems of Arrays, Stacks, queue etc. Contributors are Welcome but, DO NOT MAKE THIS REPO ACT LIKE A SOURCE OF +1.

30-Days-Of-Code

This File Contains all solutions of: Hackerrank 30 day of code. You are welcome to add any other variants of them or in other language if you know, but DO NOT MAKE THIS REPO ACT LIKE A SOURCE OF +1.

IPL-2020-Dashboard

This repo contains scripts to make IPL 2020 Dashboard. The webapp can be used to check points table of all teams, stats of player, matches schedule and many more.

Library-Management-System

Library Management System using HTML, CSS, JavaScript and Firebase.

Multithreads-NITK-HackVerse

AADS (Automated animal detection System and Prevention) created during Hackathon in NITK by Team MULTITHREADS

EDA-FeatureEng-FeatureSelection-Prediction

This repo contains Data Science Projects done in a sequential manner wherever required along with visualization. Process involves as Exploratory Data Analysis, Feature engineering, Feature selection and Prediction.

Jupyter Notebook

AngularJS-Project

This repo contains a Web Development project based on AngularJS

COVID19-Analysis-on-Vegetable_prices

Analysis and forecasting of weekly prices of vegetables in India during 1st, 2nd and 3rd lockdown due to COVID’19

DailyFeels

Hotel_webapp

udp_client-server_multithreading

Checking file exist on server or not using Socket Programming (UDP multithreaded client-server)

Introduction-to-Data-Science-in-Python

Part of Cousera course

Jupyter Notebook

TensorFlow-in-Practice-Specialization

Coursera Course

CourtCounter

An app for counting scores of an basketball match of two teams.

DBMS_Project

Machine-Learning-Projects

This repository contains various projects related to ML/ DeepLearning, Few have been taken from https://www.pyimagesearch.com/ as a learning tutorial. I recommend to visit the link to learn various concepts of ML, DL, OpenCV etc.

Jupyter Notebook