Ethereum (ETH/USDT) Price Prediction Using ARIMA | Time Series Forecasting in Python #datascience

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In this video, we walk through a complete project on Ethereum (ETH/USDT) price prediction using ARIMA time series modeling in Python.
We cover the following steps:

Data Collection from Binance API

Exploratory Data Analysis (EDA)

Stationarity Testing (ADF Test)

ARIMA Model Selection and Training

Forecasting Ethereum prices for the next 30 days

Visualization of actual vs predicted prices

🔧 Tools Used:
Python, Pandas, Matplotlib, statsmodels, ARIMA, Binance API

📊 This project is perfect for anyone interested in financial data analysis, cryptocurrency market trends, or time series forecasting using machine learning/statistical models.

👍 If you find this helpful, don’t forget to like, comment, and subscribe for more data science and machine learning projects!

#Ethereum #CryptoForecasting #TimeSeries #ARIMA #DataScience #Python #CryptoPrediction #Binance #ETHUSDT
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