Machine Learning Course With Python
What will I learn?
Unlock the potential of machine learning with our thorough Machine Learning Course with Python, crafted for tech professionals keen to upskill themselves. Delve 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 grasping key error metrics like MAE and RMSE. Explore data exploration, cleaning, and feature engineering, ensuring robust, high-quality models. Enrol now to boost your career with practical, high-impact learning.
Apoia's Advantages
Develop skills
Enhance the development of the practical skills mentioned 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 clearly.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify 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 provides practical and relevant knowledge for your professional journey.