Machine Learning Course With Python
What will I learn?
Open your eye to the power of machine learning with our complete Machine Learning Lesson with Python. We make this one for people who sabi tech and want to get more skill. You go learn how to choose the right machine learning model and how to use them. You go master decision trees, random forests, and linear regression. You go get strong head for how to train model, check how good they dey, and make them work better using scikit-learn. You go understand how to check the model to see error metrics like MAE and RMSE. You go learn how to look deep into data, clean it, and set it up so the model can use it well. Join us now so you can carry your career go high with learning that you can use right away!
Apoia's Unique Features
Develop skills
Enhance your practical skills in the areas listed below.
Sabi Decision Trees Well Well: You go learn how to use decision trees to predict things and make them work fine.
Linear Regression Skills: Build linear regression models with Python and make them correct.
Data Cleaning Expertise: Clean and prepare data sets using Pandas so you can use it for study.
Hyperparameter Tuning: Make your model work better with fine fine tuning.
Effective Reporting: Write about your data science work so people can understand.
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 it offers practical and relevant knowledge for your professional journey.