Free course
US$0.00
Premium course
US$30.90
Mathematics For Machine Learning Course
Sharpen your Business Intelligence skills with our Mathematics for Machine Learning Course. Take a deep dive into data exploration, becoming proper experts at spotting outliers and dealing with missing values. Learn data preprocessing, including normalization and how to handle outliers, so your models dey perform proper. Explore machine learning algorithms for time series, like decision trees and ARIMA. You go gain proper expertise in feature engineering, optimization techniques, and how to evaluate models. This course go give you practical, top-quality skills wey you fit use for real work situations.
- Master data structures: Analyze and understand complex data sets well-well.
- Detect outliers: Find anomalies so your data be accurate and reliable.
- Apply time series models: Use ARIMA and LSTM for correct forecasting.
- Optimize algorithms: Use gradient descent make model training quick and effective.
- Engineer features: Create polynomial features so your model perform better.

flexible workload of 4 to 360h
certificate recognized by the MEC
What will I learn?
Sharpen your Business Intelligence skills with our Mathematics for Machine Learning Course. Take a deep dive into data exploration, becoming proper experts at spotting outliers and dealing with missing values. Learn data preprocessing, including normalization and how to handle outliers, so your models dey perform proper. Explore machine learning algorithms for time series, like decision trees and ARIMA. You go gain proper expertise in feature engineering, optimization techniques, and how to evaluate models. This course go give you practical, top-quality skills wey you fit use for real work situations.
Elevify advantages
Develop skills
- Master data structures: Analyze and understand complex data sets well-well.
- Detect outliers: Find anomalies so your data be accurate and reliable.
- Apply time series models: Use ARIMA and LSTM for correct forecasting.
- Optimize algorithms: Use gradient descent make model training quick and effective.
- Engineer features: Create polynomial features so your model perform better.
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 workloadWhat our students say
FAQs
Who is Elevify? How does it work?
Do the courses have certificates?
Are the courses free?
What is the course workload?
What are the courses like?
How do the courses work?
What is the duration of the courses?
What is the cost or price of the courses?
What is an EAD or online course and how does it work?
PDF Course