Machine Learning Course With Python
What will I learn?
Unleash the power of machine learning with our comprehensive Machine Learning Course with Python, designed for tech professionals keen to level up 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, while understanding key error metrics like MAE and RMSE. Explore data exploration, cleaning, and feature engineering, ensuring robust, high-quality models. Sign up now to elevate your career with practical, high-impact learning.
Apoia's Unique Benefits
Build skills
Enhance your practical skills in the areas 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 prep 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 it offers practical and relevant knowledge for your professional journey.