Bitcoin price prediction algorithm using bayesian regression techniques

Cryptocurrency Return Prediction Using Investor Sentiment Extracted by BERT-Based Classifiers From News Articles, Reddit Posts and Tweets ---- Master's thesis project for the program of M.Sc. Economics and Management Science at Humboldt University of Berlin

This project focuses on predicting diamond prices using regression techniques in Python. It involves analyzing key features such as carat, cut, color, clarity, and dimensions to build an accurate price prediction model.

A flutter app for Airbnb price predictions.

THE AIM IS TO PREDICT THE PRICE OF CAR USING ALL THE GIVEN FEATURES.

In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.

The Diamond Price Prediction project leverages machine learning to predict diamond prices based on key attributes. It features a Flask web app for real-time, accurate price estimation.

agroNut empowers farmers with AI-driven tools including crop recommendations, market analysis, disease identification, AI chat support, and an online marketplace. Built with Django, MySQL, Python libraries, and Google Colab, this project is the result of a successful collaborative effort to innovate and support the agricultural sector.

Build an AI Website using machine learning algorithms to predict the selling price of cars using various features given as input and displaying predicted selling price as an output with an accuracy of 87% and deployed the website on Heroku.

An API for Airbnb price predictions based on a trained ML model.

This is a collection of final projects done as a part of GUVI Data Science Course. It consists of three projects working on the CarDekho, Zomato, and Red Wine datasets.

The following tools enables to quickly predict the price of the particular asset via Machine Learning Techniques LSTM implementation

An analysis on Bitocin Prices, it includes two price prediction models to compare the sensibility of Bitcoin to underlying factors.

Airbnb Singapore

ethereum price prediction

Predecir el precio de una casa dependiendo de sus características

Predicting housing prices for regions in the USA from USA_Housing.csv

Developed a machine learning model to predict the resale price of used cars using data from the CarDekho website. The project involves data cleaning, feature engineering, and training regression models to estimate car prices based on factors like brand, model, year, fuel type, transmission, and mileage. The goal is to help buyers and sellers make d