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Machine Learning Course With Python

What will I learn?

Unlock the potential of Machine Learning with our detailed Machine Learning Course with Python, tailored for tech professionals looking to boost their skillset. Delve into model selection and implementation, becoming proficient in decision trees, random forests, and linear regression. Develop expertise in model training, evaluation, and optimization using scikit-learn, while grasping essential error metrics such as MAE and RMSE. Explore data exploration, cleaning, and feature engineering, ensuring robust, top-notch models. Enrol now to advance your career with practical, high-value learning.

Apoia's Unique Features

Lifetime access to online courses
Certificate adhering to educational standards
Printable PDF summaries
Online support available at all times
Select and arrange the chapters you wish to study
Customize your course schedule
Instant feedback on practical activities
Study at your convenience, without needing an internet connection

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: Develop and refine linear regression models using Python.

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

Hyperparameter Tuning: Improve model performance with advanced tuning techniques.

Effective Reporting: Clearly document and report data science processes.

Suggested summary

Workload: between 4 and 360 hours

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

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 it offers practical and relevant knowledge for your professional journey.