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blueberry-yield-prediction

Blueberry yield Prediction using Streamlit and deploying to Heroku

covid-19-india-eda

EXPLORATORY DATA ANALYSIS OF COVID 19 INDIA DATASET¶ THIS DATA SET IS COLLECTED FROM - https://www.kaggle.com/sudalairajkumar/covid19-in-india

curetalk

We have used ML models to predict disease from symptoms.

exploratory-data-analysis-eda-of-west-bengal-poll-2021

EXPLORATORY DATA ANALYSIS (EDA) OF WEST BENGAL POLL 2021¶ DATA SOURCE

first-contributions

🚀✨ Help beginners to contribute to open source projects

fun-projects

I started learning Web Dev ( HTML, CSS, JS) so I thought of making this repo where I can upload any fun/ toy projects I create while learning it. I would also use this repo if I learn any new technologies in future and think of creating starter projects while Learning. Any suggestions for making this repository for more fun is always welcome.

image-plagarism-checker-using-streamlit

Will check whether an Image is plagiarized or not based on if its found on the folder of images you provide or not.

imdb-rating-prediction-

From a given dataset on Movies on Streaming platform , its IMDb rating is predicted.

mlh-local-hack-day-github-web-aws-session

Learn How to Collaborate with GitHub & how to quickly develop, build, and deploy your first website with Amazon Web Services.

n2o-predicition

Using Machine learning to improve predictions of agricultural nitrous oxide (N2O) emissions from intensively managed cropping systems.

netflix-subscribers-data-analysis-q1_2018-q2-2020

A basic Data Visualization project based on Netflix subscribers from the 1st Quarter of 2018 to the 2nd Quarter of 2020.

patient-survival-prediction

scraping-reddit-post-data-using-praw

This is a Tutorial to show how to scrape Reddit Posts using PRAW: The Python Reddit API Wrapper

textstrength

Calculating strength of a text by summing all the ASCII values of its characters

twitter-sentiment-analysis-on-corona-vaccine

Tweets from Twitter are collected using Tweepy and then the tweets are processed, words are being counted and then sentiments are being analysed from each tweet.