Machine Learning Course With Python
What will I learn?
Tap inna di powa a mashin lernin wid wi ful-ful Mashin Lernin Kuos wid Python, design fi teknoloji profeshanal dem we eager fi mek dem skill betta. Dive deep inna model selection an implementeishan, and staat fi master decision tree, random forest, an linear regression. Get expertiz inna model training, evaluayshan, an optimizayshan yuhsing scikit-learn, while understand impoatant error metric like MAE an RMSE. Explora data explorayshan, cleaning, an feature injinierin, fi mek shua se wi gat stranga, top-quality model. Join now fi boost yuh career wid praktikal, high-impact lernin.
Apoia's Unique Offerings
Develop skills
Enhance the development of the practical skills listed below
Master Decision Tree: Implement an optimiz decision tree fi predictive model dem.
Linear Regression Skills: Bil an refain linear regression model wid Python.
Data Cleaning Expertiz: Clean an pripare dataset yuhsing Pandas fi analisis.
Hyperparameter Tuning: Enhance model pafomans wid advance tuning teknik dem.
Effective Reportin: Dokyument an report data science process wid clarity.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can 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'll 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 offers practical and relevant knowledge for your professional journey.