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Prediction Model + Result Analysis
I have (24 Columns, and 5100 Rows) Data that contain the following attributes [Dengue Fever Data(district name, gender, nationality, week and year of record the case), Air quality Data (temperature, Humidity, rainfall, and other)], for the period between 2010 to 2018. I would like to create a prediction model that involve the following steps:
1. Dimensionality reduction
3. Linear regression.
4. Time Series Analysis.
I have tried simple design but I got the following result, and I'm not sure if my work is right to not!?