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Time Series Forecasting involves analyzing and modeling data collected over time to predict future outcomes. It has a wide range of applications, including weather prediction, sales projections, business planning, and stock price forecasting. One of the most widely used statistical methods for this purpose is the ARIMA model. What is ARIMA? ARIMA stands for AutoRegressive … Read more

Weather forecasting involves predicting the atmospheric conditions of a specific location for a particular period. By utilising historical weather data and predictive algorithms, it’s possible to estimate weather patterns for the upcoming days. To forecast weather using Python, we need a dataset that includes past weather records for a chosen location. We are using a … Read more

Banks and credit card companies rely on credit scores to assess a customer’s creditworthiness. A high credit score makes it easier for these institutions to approve loans and credit offers. Today, many financial institutions use machine learning algorithms to classify customers based on their credit history. If you’re interested in learning how to apply machine … Read more