Bitcoin price prediction algorithm using bayesian regression techniques

A flutter app for Airbnb price predictions.

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

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

In this notebook, we build and train a Multi-Step / Multi-Output Regression Model powered by TensorFlow & Keras in order to predict Bitcoin's future trend.

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

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.

Airbnb Singapore

ethereum price prediction

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

Example of how to scrape SNIIM and Yahoo Finance data

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 project analyze the various parameters of the flight data and correlate each data's present and a pattern is formed to evaluate the price

car price prediction

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

Basic ANN model which predicts price against two input features. Best way to start your journey with Deep Learning.