We are the Anchain.ai Bitcoin Price Prediction team from UC Berkeley's Data-X course. Our product is called BTC Predictor.

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a machine learning project made with python

Bitcoin price predictor.

Simple app to create a custom Bitcoin price prediction.

predict price of bitcoin with python and tensorflow

A bitcoin price predictor built with python, fastapi and faunadb using Time-series for machine learning modelling

This Python project predicts whether the price of Bitcoin will increase or decrease on the next day, using historical price data and machine learning. Additionally, the project visualizes Bitcoin's price movements using candlestick charts along with moving averages for different timeframes.

Capstone Project: Predict Price of Bitcoin cryptocurrency using machine learning algorithms.

Bitcoin price change predictor.

Bitcoin price prediction by Random Forest Regressor coded by python

A Data Science project that predicts the price of bitcoins using linear regression algorithms and basic viz techniques

The project attempts to predict the future value of Bitcoins by identifying the correlation between social media sentiment and market sentiment.

Real Time Bitcoin Price Predictor using Kafka

Open-source Bitcoin price predictor with deep learning methods. Foundation for ML enthusiasts to learn and contribute to crypto prediction algorithms. Smart Bitcoin price prediction with sleek interface - 7 day analysis, neural networks, and 70% accuracy. Your playground for crypto AI experimentation.

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​Predicting Bitcoin ₿ price 💵 based on previous data using LSTM

An AI Bitcoin Price predicor made with node js and pytorch and trained on historical data of Bitcoin.

A recurrent neural network used to test the BTC to INR predictions. I've used Keras which uses Tensorflow as a backend. The results are quite impressive, but still not yet tried with other datasets. There you go!

30 day price predictor of bitcoin using 1 year data set

A very simple predictor for bitcoin prices using a LSTM neural network

LSTM Stock Predictor: Due to the volatility of cryptocurrency speculation, investors will often try to incorporate sentiment from social media and news articles to help guide their trading strategies. One such indicator is the Crypto Fear and Greed Index (FNG) which attempts to use a variety of data sources to produce a daily FNG value for cryptocurrency. You have been asked to help build and evaluate deep learning models using both the FNG values and simple closing prices to determine if the FNG indicator provides a better signal for cryptocurrencies than the normal closing price data. In this assignment, you will use deep learning recurrent neural networks to model bitcoin closing prices. One model will use the FNG indicators to predict the closing price while the second model will use a window of closing prices to predict the nth closing price.

Predicts the price of Bitcoin value based on the dataset available to us

A bitcoin price predictor at Microsoft Imagine Cup 2018

Bitcoin price predictor and forecasting using sentiment analysis and LSTM

Projeto de fim educativo que, através de um algoritmo simples de análise de mercado, tenta prever a tendência do valor do Bitcoin.

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A web app that predicts Bitcoin prices using an LSTM model

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