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Machine Learning Course With Python

What will I learn?

Unlock the power of machine learning with our comprehensive Machine Learning Course with Python (Irish Edition), designed for technology professionals keen to upskill themselves. Delve into model selection and implementation, becoming a dab hand at decision trees, random forests, and linear regression. Gain expertise in model training, evaluation, and optimisation using scikit-learn, while getting to grips with key error metrics like MAE and RMSE. Explore data exploration, cleaning, and feature engineering, ensuring robust, high-quality models. Join now to take your career to the next level with practical, high-impact learning.

Apoia's Advantages

Online and lifetime access to courses
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you'd like to study
Set your own course workload
Instant feedback on practical activities
Study at your convenience, no internet required

Develop skills

Strengthen the development of the practical skills listed below

Master Decision Trees: Implement and optimise decision trees for predictive models.

Linear Regression Skills: Build and refine linear regression models with Python.

Data Cleaning Expertise: Clean and prepare datasets using Pandas for analysis.

Hyperparameter Tuning: Enhance model performance with advanced tuning techniques.

Effective Reporting: Document and report data science processes with clarity.

Suggested summary

Workload: between 4 and 360 hours

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

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.