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
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.