Forecasting with Time Series - Intro
Basic Concepts: Trend Vs Stationary & Seasonality Vs Cycle
Time Series Forecasting Techniques - An Overview
Time Series Tecniques for "Stationary + No Seasonality"
Naive Method
Simple Averaging
Moving Average
Simple Exponential Smoothing
Time Series Tecniques for "Trend + No Seasonality"
Naive Method with Trend
Double Moving Average
Holt's Method (Double Exponential Smoothing)
Regression Based Trend Models
Time Series Tecniques for "Seasonality + No Trend"
Winter's Additive Method
Winter's Multiplicative Method
Regression Based Seasonality Models
Time Series Tecniques for "Trend + Seasonality"
Holt-Winter's Additive Method
Holt-Winter's Multpicative Method
Regression Based "Trend+Seasonality" Methods
Regression Based "Trend+Seasonality Methods" - Exam Like Question
Decomposition
Decomposition - Exam Like Question 1
Decomposition - Exam Like Question 2
Decomposition - Exam Like Question 3
Autocorrelation and Durbin-Watson Test
Autocorrelation Nedir? Durbin Watson Test Nedir, Nasıl Uygulanır?
AC and DW Test - Exam Like Question
Decision Trees
Basic Probability (Temel Olasılık)
Baye's Theorem
How to Built a Decision Tree?
Exam Like Question
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