Machine Learning Course With Python
What will I learn?
Unlock the power of machine learning with our comprehensive Machine Learning Course with Python, designed for technology professionals eager to enhance their skills. Dive into model selection and implementation, mastering decision trees, random forests, and linear regression. Gain expertise in model training, evaluation and optimisation using scikit-learn, whilst understanding key error metrics like MAE and RMSE. Explore data exploration, cleaning and feature engineering, ensuring robust, high-quality models. Join now to elevate your career with practical, high-impact learning.
Apoia's Differentials
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 adjust 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.