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Python For Machine Learning Course

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

What will I learn?

Unlock the power of Python for machine learning with our comprehensive course designed for technology professionals in Namibia. Dive into regression algorithms like Random Forests and Decision Trees, master model evaluation metrics such as RMSE and MAE, and explore data preprocessing techniques including feature scaling and encoding. Enhance your skills with feature selection methods, project documentation, and Python libraries like NumPy and Pandas. Optimize models with hyperparameter tuning and ensemble methods. Join now to boost your expertise in machine learning.

Elevify advantages

Develop skills

  • Master regression: Implement Random Forests, Decision Trees, and Linear Regression algorithms.
  • Evaluate models: Use RMSE, MAE, and cross-validation to assess performance.
  • Preprocess data: Scale features, handle missing data, and encode categorical variables correctly.
  • Optimize models: Apply hyperparameter tuning, ensemble methods, and various search strategies for best results.
  • Analyse data: Use NumPy, Pandas, Matplotlib, and Seaborn for data analysis and getting valuable insights.

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

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company where I work.
SilviaNurse
Great course. Lots of valuable information.
WiltonCivil Firefighter

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