shiva23120 Goto Github PK

blood_bank_management_system

credit_card_clustering

diabetes-prediction

I have developed this model using random forest and svm to predict Diabetes

fraudlent_transactions_identification

generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

harvestify

A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.

harvestify1

income_prediction_project

This project is about classifying persons based on their incomes whether that particular person is earning more than $50k or less than $50k anually

iris-flower-classification

A Flask application with integrated ML model which classifies the folower-species as iris-setosa or iris-versicolor or iris-virginica based on the featues sepal length,sepal width,petal length and petal width.The model is trained using LogisticRegression algorithm

kidney_disease_prediction

mathematics_for_machine_learning

Notes and step-by-step exercises resolution to aid students learning the base math for machine learning. Content summed up from the the course from the Imperial London College in Coursera.

mortgage-calculator

A mortgage calculator can be very helpful when you’re deciding how to approach the financial side of buying a home. It can give you a ballpark figure of what your monthly mortgage payment may be so you can estimate expenses. It can also help you decide if you might prefer a fixed-rate or an adjustable-rate loan, or a 15- or 30-year loan term.

portfolio1

shiva23120

Config files for my GitHub profile.

tasks

virtualqaptive-project

A simple web application using React (Front End) & Django.(Back End)

virtualqaptive_project

a simple web application using React (Front End) & Django.(Back End)

web-scraping-python

Amazon Web Scraping with BeautifulSoup (BS4) A Python script for extracting product information from Amazon using BeautifulSoup (BS4) library. Scrape product titles, prices, ratings, and more from Amazon webpages effortlessly.