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Time series forecasting, you may use this dataset to begin studying the…
Time series forecasting
Time series Decompositon
Components
Trend-Cycle
Seasonality
Remainder
Decomposition techniques
Types of time series
Stationary and non-stationary
Univariate and multi-variate
Forecasting methods
Baseline
Naive approach
Classical Methods
Smoothing Techniques
Exponential
SES
Holt's
Holt-Winters
Moving Average
ARIMA models
Machine Learining
MLP
RNN
LSTM
CNN
Bibliography
Forecasting Methods and Applications
Hands-on ML with sklearn, Keras & TF (Chapter 15)
Practical Time Series Analysis - Prediction with Statistics & Machine Learning
Applications
Financial Time Series
Forecasting Volatility
GARCH method (benchmark against which
ML method should be compared)
Energy Comsuption Forecasting
Climate Forecasting
Dataset repositories
Daily Climate time series data
Microsoft Stock- Time Series Analysis
Energy Consumption Time Series Dataset
Time Series starter dataset
Code repositories
Smoothing Methods (Holt-Winters)
Evaluation metrics
RMSE
MAPE
MAE
Python Libraries for Time Series Forecasting
statsmodel
sktime
prophet
you may use this dataset to begin studying the classical methods