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Mathematics for Machine Learning Course

Mathematics for Machine Learning Course
4 to 360 hours of 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 normalization 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, optimization techniques, and model evaluation. This course equips you with practical, high-quality skills for real-world applications.

Elevify Differentials

Develop Skills

  • Master data structures: Analyze 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.
  • Optimize 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 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 Prison System Intelligence Advisor, 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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