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Machine Learning Course With Python

What will I learn?

Unlock the power of machine learning for yourself with our proper Machine Learning Training plus Python, we design am for technology people wey dey eager to make their skills better. Enter inside model selection and how to do am, becoming master for decision trees, random forests, and linear regression. Get deep knowledge for model training, evaluation, and how to make am better using scikit-learn, whilst you dey understand important error metrics like MAE and RMSE. Explore how to find out about data, clean am, and feature engineering, so you go fit get strong, high-quality models. Join now so you go fit make your career go up with learning wey dey practical and dey make big difference.

Apoia's Unique Features

Online courses available for life
Certificate issued in line with educational standards
Printable PDF summaries
Online assistant available at all times
Select and arrange the chapters you wish to study
Set your preferred course workload
Instant feedback on practical activities
Study anytime, no internet required

Develop skills

Enhance the development of the practical skills listed below

Master Decision Trees: Know how to do decision trees well so you go fit build predictive models.

Linear Regression Skills: Build and make your linear regression models fine with Python.

Data Cleaning Expertise: Clean data sets well using Pandas so you go fit analyse am.

Hyperparameter Tuning: Make model performance better with advanced tuning techniques.

Effective Reporting: Write report about data science processes make e clear well well.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can modify the chapters and workload.

  • Select which chapter to begin with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can include

You can generate additional chapters like the examples below

This is a free course, aimed at 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.