Abstract
AbstractCryptocurrency is now gaining a lot of popularity. Bitcoin is the first cryptocurrency that was ever started. Trading of these cryptocurrencies has become legal in most of the countries, and it is expected that most of the countries soon might accept cryptocurrency as tender along with conventional currency. The value of cryptocurrency is variable and predicting the price of it will help people in investments. The cryptocurrency market is open 24/7 and unlike the stock market change of value in cryptocurrency does not vary with the founder or any other factors. The data of bitcoin prices recorded is a time series data, i.e., it changes with time. Its value changes with demand and supply factors. This paper “Bitcoin price prediction using machine learning’s boosting algorithms” predicts the future price of the bitcoin for 30 days by analyzing the past trend of bitcoin price and estimates the future demand and supply of bitcoin and predicts the price with the help of machine learning. Our main goal of our project is to predict bitcoin price prediction with higher accuracy than all of the currently existing systems. For this, we are using the newly introduced CatBoost algorithm which came up in 2017.KeywordsBitcoinMachine learningBoosting algorithmsCatBoostCryptocurrencyGradient boostingCatBoost algorithm
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