TrainSet Academy

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Time Series Forecasting
Skills you will gain
  • Data Preprocessing
  • Model Building
  • Model Evaluation
  • Hyperparameter Tuning
  • Feature Engineering
  • ARIMA
  • Time Series
  • Box-Cox Transformation
  • AFC
  • PAFC
1.About this course

In this project you will build a simple ML model to predict (a probability of) a heart disease of a patient.

The project contains 7 sections in total, each with step-by-step instructions of what to do. In addition, the project contains the bonus questions intended for advanced students or those who is willing to do some additional googling in order to familiarize themselves with potentially new concepts.

2.Requirements

Knowledge of syntax (e.g. for/while loops and if statements), knowledge of pandas in data preprocessing (e.g. delete/insert column, change column name, slice/filter/merge/split a table etc.), knowledge of data types (e.g. object/string/int/float).

3.Support

You are stuck and need some help? Join our Slack channel to get our support and code review. Happy programming!

4.About the Author
Victor Popov

Victor Popov

Applied ML Lead @ TLM; Data Scientist @ Opex Analytics;

MEng in Computer Science (Cornell University)

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