Time Series Data in Machine Learning | Forecasting Methods Explained

In this video, we dive into Time Series Data and explore how it’s used in Machine Learning to analyze and predict data trends over time. Whether you’re working with stock prices, weather data, or sales forecasts, understanding time series methods is crucial for accurate predictions.
We’ll cover key concepts like:
What is Time Series Data?
Common challenges in time series analysis (trend, seasonality, noise)
Moving Averages (MA) and Exponential Smoothing methods
The ARIMA Model for complex data forecasting
LSTM Networks for deep learning-based time series analysis
How to evaluate the performance of time series models
Whether you're a beginner or an experienced data scientist, this video will help you better understand how to work with time series data in machine learning.
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