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Our Courses
Machine Learning and Data Science
Time Series Forecasting
Topics Covered
Level :
Intermediate
Time-dependent data modeling, ARIMA, LSTM
Course Summary
Analyze and forecast time series data using ARIMA and LSTM models for trends and pattern recognition.
Course Description
Learners explore key modeling approaches to capture and forecast patterns in sequential data across domains like finance, weather, and operations.
Learning Modules
Module 1: Exploratory analysis and visualization of time series.
Module 2: Building ARIMA models for short-term forecasting.
Module 3: Implementing LSTM networks for long-term sequence prediction.
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