Discover 0xpranjal/COVID-19-complete-EDA-analysis Open Source project

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Jupyter Notebook
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MIT License
Created over 4 years ago
Updated about 4 years ago

0xpranjal

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Performed Exploratory Data Analysis(EDA) on the global COVID-19 dataset. Used Geopython to get a worldwide view of COVID-19 cases.

0xpranjal

About me.

Pneumonia-Detection-using-Deep-Learning

Making a binary classifier to detect pneumonia using chest x-rays images.

Jupyter Notebook

Stock-Prediction-using-different-models

A collection of notebooks and different prediction models that can predict the stock prices. Also a comparison of how all these models performed.

Jupyter Notebook

Breast-cancer-prediction

Breast cancer detection using 4 different models i.e. Logistic Regression, KNN, SVM, and Decision Tree Machine Learning models and optimizing them for even a better accuracy.

Jupyter Notebook

Extracting-Stock-Sentiments-from-News-Headlines-using-Sentimental-Analysis

In this project, I generated investing insights by applying sentiment analysis on financial news headlines from Finviz.

HTML

Blockchain-workshop

This repo contains supporting material for my talk about the very basics of Blockchain & Ethereum.

Solidity

Bhilai-Hacks-Blockchain-Talk

This repo contains supporting material for my talk about the very basics of Blockchain & Ethereum smart contracts.

Solidity

StockerDataframe

A python package for better analysis of the Stock Market.

Python

Early-Diagnosis-of-Retinal-Blood-Vessel-Damage-via-Deep-Learning

This repo contains code for our paper, "Early Diagnosis of Retinal Blood Vessel Damage via Deep Learning-Powered Collective Intelligence Models"

Python

COVID-Genome-Computational-Analysis

Computational predictions of protein attributes associated with COVID-19 using Data Science techniques

Jupyter Notebook

ADHD-Classification-with-Reliable-RELIEF

This project is part of my summer internship at Indian Statistical Institute, Kolkata in 2021. This project will be deployed as a web application owned by ISI-Kolkata, thus I'm only allowed to share limited source code publically. This repo contains the RRelief implementation that I researched and implemented.

Jupyter Notebook

Iris-Species-Classification

A machine learning model, deployed using flask. Made into a web app that can help you classify species of Iris flower and go through the dataset.

Jupyter Notebook

Generative-Adversarial-Network-from-Scratch

This repository is to demonstrate how we can create new images of a distribution of images with a Generative Adversarial Network (GAN)

Jupyter Notebook

Neural-Networks-with-different-languages

This repository contains the sample code of Neural Networks implementation in multiple programming languages

C++

Introduction-to-Household-Water-Treatment-and-Safe-Storage

Solutions to the coursera course, Introduction to Household Water Treatment and Safe Storage

Road-to-Decipher-Bootcamp

This repo contains code and slides for Road to Decipher Bootcamp

Python

Data-Science-with-Julia

This repository contains the basic fundamentals of Julia and how they're implemented.

Jupyter Notebook

profile

JavaScript

Gender-Prediction-Using-Sound

In this project, I used the Fuzzy python library for implementing common phonetic algorithms quickly. Typically this is in string similarity exercises, but they’re pretty versatile. In this project, I used the Python package Fuzzy to find out the genders of authors that have appeared in the New York Times Best Seller list for Children's Picture books.

Jupyter Notebook

Analyzing-Bitcoin-Cryptocurrency-Market

Trend analysis of Bitcoin-Cryptocurrency markets Project Description The aim of the project is to better understand the growth and impact of Bitcoin and other cryptocurrencies in the financial markets. In this , we will explore the market capitalization of different cryptocurrencies.

Jupyter Notebook

Web-Scraping

Repository contains python code for web-scraping using BeautifulSoup

Jupyter Notebook

Chatbot-V1

Python

Databases-with-SQLAlchemy

Working on Databases using python via SQLAlchemy

Python

marketplace-pyteal

a pyteal example to create marketplace on Algorand

Python

Data-Science

Mini code for EDA and Data analysis projects for regular practice.

Jupyter Notebook

Most-Common-Words-in-the-CORD-19-Dataset

Jupyter Notebook

Interactive-Data-Visualization-with-Bokeh

This repository contains my practise files and application s made using Bokeh visualisation tools.

Jupyter Notebook

Career-Prediction-based-on-personal-Interest

This project can be used by students confused between multiple profiles to decide which one fits their skillset most aptly, this takes the input of not only their academic performance but all the other extra curriculum they were involved in and provides for the aptest results it can be used by professionals only who are confused which career trajectory they should take up.

Jupyter Notebook

Covid-Italy

In this repository the visualization of stats and important graphs are obtained in order to better understand the relation of coronavirus and impactful graphs which can be used for advanced studies. Coronaviruses are a large family of viruses which may cause illness in animals or humans. In humans, several coronaviruses are known to cause respiratory infections ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS). The most recently discovered coronavirus causes coronavirus disease COVID-19.

Jupyter Notebook

Titanic-Prediction

The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others. In this challenge, I was asked to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).

HTML

0xpranjal/COVID-19-complete-EDA-analysis

0xpranjal

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