Machine Learning Course With Python
What will I learn?
Unlock di power of machine learning wit our proper Machine Learning Course with Python, wey dem design for technology professionals wey sabi book but still dey eager to sharpen dem skills. Enter inside model selection and how to do am, mastering decision trees, random forests, and linear regression. Get correct correct experience for model training, evaluation, and making dem betta using scikit-learn, while you dey understand important error metrics like MAE and RMSE. Explore data exploration, cleaning, and feature engineering, to make sure say you get strong, high-quality models. Join us now make your career dey move forward with correct practical learning wey go impact you well well.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Master Decision Trees: How to do and make decision trees betta for to predict correct correct.
Linear Regression Skills: Build and correct your linear regression models with Python.
Data Cleaning Expertise: Clean and prepare your data using Pandas for analysis wey make sense.
Hyperparameter Tuning: Make your model dey perform well well with better better tuning ways.
Effective Reporting: Write and talk about data science processes with correct correct 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 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 offers practical and relevant knowledge for your professional journey.