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Mathematics For Machine Learning Course

Mathematics For Machine Learning Course
from 4 to 360h flexible workload
certificate recognized by MEC

What will I learn?

Elevate your Business Intelligence skills with our Mathematics for Machine Learning Course. Dive into data exploration, mastering techniques to detect outliers and handle missing values. Learn data preprocessing, including normalisation and outlier treatment, to enhance model accuracy. Explore machine learning algorithms for time series, such as decision trees and ARIMA. Gain expertise in feature engineering, optimisation techniques, and model evaluation. This course equips you with practical, high-quality skills for real-world applications.

Elevify advantages

Develop skills

  • Master data structures: Analyse and interpret complex data sets effectively.
  • Detect 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.
Workload: between 4 and 360 hours

What our students say

I was just promoted to Intelligence Advisor for the Prison System, and the course from Elevify was crucial for me to be chosen.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Great course. A lot of valuable information.
WiltonCivil Firefighter

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