There are 1 repository under priceprediction topic.
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
A flutter app for Airbnb price predictions.
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.
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.
THE AIM IS TO PREDICT THE PRICE OF CAR USING ALL THE GIVEN FEATURES.
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.
ethereum price prediction
Airbnb Singapore
An analysis on Bitocin Prices, it includes two price prediction models to compare the sensibility of Bitcoin to underlying factors.
An API for Airbnb price predictions based on a trained ML model.
car price prediction
Example of how to scrape SNIIM and Yahoo Finance data
car price predication with machine learning. The price of a car depends on a lot of factors like the goodwill of the brand of the car, features of the car, horsepower and the mileage it gives and many more. Car price prediction is one of the major research areas in machine learning.
The objective is to analyze the flight booking dataset obtained from a platform which is used to book flight tickets. A thorough study of the data will aid in the discovery of valuable insights that will be of enormous value to passengers. Apply EDA, statistical methods and Machine learning algorithms in order to get meaningful information from it.
An application that helps in predicting the price of diamond from a set of given parameters.
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
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
Basic ANN model which predicts price against two input features. Best way to start your journey with Deep Learning.
Supervised learning methods
Predicting housing prices for regions in the USA from USA_Housing.csv