Additional reading

Here are some TurinTech articles to provide you an in-depth understanding of relevant topics:

Data quality

What Is Imbalanced Data and How to Handle It?

Data Quality in Machine Learning: How to Evaluate and Improve?

Feature generation and selection

Feature Generation: what it is and how to do it?

The “why” , the “what” and the “how”

Explainability, accuracy, and speed

Explainability

Four Methods to Statistically Measure Your Data Correlation

How Can Complex Models Run Fast? Trade-off between model complexity and running speed

Hyperparameter tuning

Fast Hyperparameter Tuning to Improve Model Performance

Multi-objective optimisation

Multi Objective Optimisation

Use cases

Time Series Forecasting: Predicting Dow Jones Prices and Trends with evoML

Customer churn prediction using Machine Learning: a step-by-step guide with evoML