Winning solution of the Novartis Data Science and Artificial Intelligence 2019/2020 competition

Building a Logistic regression model for the prediction of Sales and implementing it in a web app based on Python 🐍

Houses price prediction web app

Predicts Sports Winner Team

This repository contains the source code for the Cab Fare Prediction Web Application. The application utilizes machine learning algorithms to predict cab fares based on various factors such as pickup location, drop location, time, date, no. of passengers etc.

Prediction of Cab Prices depending upon the distance and other factors.

Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice

HarvestAI Crop Recommender is a sophisticated machine learning project with the primary goal of revolutionizing agricultural decision-making processes. Using ML Algorithm, this project aims to provide farmers with accurate and personalized crop recommendations based on essential environmental factors crucial for crop growth and development.

IPL Fantasy Cricket Dream 11 Team Predictor is a Flask Web Application that predicts the best fantasy cricket team based on player's previous records.

Example code for the handbook "Comparative effectiveness and personalized medicine using real-world data"

Some examples of using bsts (Bayesian Structural Time Series) to build causal impact models

A quick reference guide for creating prediction models using R caret.

This is a project trying to identify hypertensive patients who benefit from intensive blood pressure lowering

A Flask APP

This dataset from "ShufersalML" captures customer order history, aiming to predict future purchases using Python. It involves interconnected files that detail customer orders over time. The goal is to build a predictive model leveraging past order patterns to anticipate which products a user is likely to include in their next order.

Udacity Machine Learning Engineer Nanodegree Capstone on customer segmentation and acquisition with Arvato Bertelsmann Financial Solutions.

**Credit to Dataquest** Welcome to the NBA Game Predictor repository, where data scraping meets predictive analytics for NBA enthusiasts and data science aficionados alike! This project leverages Python to scrape real-time NBA statistics from Basketball Reference, harnessing the power of data to predict game outcomes.

Proyecto de análisis exploratorio de datos del Censo 2017

This is an End-to-End Data Science project which can predict whether a person has diabetes, or not, based on information about the patient such as blood pressure, body mass index (BMI), age, etc.