Machine Learning Course With Python
What will I learn?
Unlock the power of machine learning with our thorough Machine Learning Course with Python. It's designed for technology professionals who want to boost their skills. Get stuck in with picking and using models, mastering decision trees, random forests, and linear regression. Become an expert in training, checking, and making models better using scikit-learn, while understanding important error measurements like MAE and RMSE. Explore how to look at data, clean it up, and engineer features, making sure your models are strong and good quality. Join now to make your career better with learning that's practical and makes a big difference.
Apoia's Unique Features
Develop skills
Enhance the growth of the practical skills listed below
Master Decision Trees: Use and fine-tune decision trees for making predictions.
Linear Regression Skills: Build and improve linear regression models using Python.
Data Cleaning Expertise: Clean and get datasets ready for analysis using Pandas.
Hyperparameter Tuning: Make models work even better with advanced tuning.
Effective Reporting: Write up and report on data science processes clearly.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Select which chapter to commence with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You’ll be able to generate additional chapters similar to the examples below
This is a free course focused on personal and professional growth. It does not equate to a technical, undergraduate, or postgraduate qualification, but offers practical and relevant knowledge for your professional journey.