Machine Learning Course With Python
What will I learn?
Open up the power of machine learning with our full Machine Learning Training with Python. This training is for tech people who want to improve their skills. You will learn how to choose and use different models like decision trees, random forests, and linear regression. You will become good at training, testing, and making models better using scikit-learn. You will also understand important error measurements like MAE and RMSE. You will explore data, clean it, and make new features so your models are strong and good. Join now to make your work life better with useful learning that makes a big difference.
Apoia's Unique Features
Develop skills
Enhance the practical skills listed below
Become a Master of Decision Trees: Learn how to use and make decision trees better for guessing what will happen.
Linear Regression Skills: Build and improve linear regression models using Python.
Data Cleaning Expertise: Clean and prepare data using Pandas for analysis.
Hyperparameter Tuning: Make models work better with advanced tuning methods.
Effective Reporting: Write clear reports about your data science work.
Suggested summary
Workload: between 4 and 360 hours
Before beginning, feel free to 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 akin to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.