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Mathematics For Machine Learning Course

Mathematics For Machine Learning Course
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 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
Very great course. Lots of valuable information.
WiltonCivil Firefighter

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