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Mathematics For Machine Learning Course
Hone your Business Intelligence skills with our Mathematics for Machine Learning Course. Delve into data exploration, mastering techniques to spot outliers and deal with missing values. Learn data preprocessing, including normalisation and outlier treatment, to boost model accuracy. Explore machine learning algorithms for time series data, such as decision trees and ARIMA. Gain expertise in feature engineering, optimisation techniques, and model evaluation. This course gives you practical, top-notch skills for real-world applications.
- Master data structures: Analyse and interpret complex data sets effectively.
- Spot outliers: Identify anomalies to enhance data accuracy and reliability.
- Apply time series models: Use ARIMA and LSTM for precise forecasting.
- Optimise algorithms: Implement gradient descent for efficient model training.
- Engineer features: Create polynomial features to improve model performance.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Hone your Business Intelligence skills with our Mathematics for Machine Learning Course. Delve into data exploration, mastering techniques to spot outliers and deal with missing values. Learn data preprocessing, including normalisation and outlier treatment, to boost model accuracy. Explore machine learning algorithms for time series data, such as decision trees and ARIMA. Gain expertise in feature engineering, optimisation techniques, and model evaluation. This course gives you practical, top-notch skills for real-world applications.
Elevify advantages
Develop skills
- Master data structures: Analyse and interpret complex data sets effectively.
- Spot outliers: Identify anomalies to enhance data accuracy and reliability.
- Apply time series models: Use ARIMA and LSTM for precise forecasting.
- Optimise algorithms: Implement gradient descent for efficient model training.
- Engineer features: Create polynomial features to improve model performance.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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