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Machine Learning Beginner Course
Open up the power of machine learning with our proper Newcomers Course. This course na designed for tech people weh them de keen to make their skills strong. Enter inside di basics of machine learning, check out how to prepare data, and sabi linear regression well-well. Learn how to understand model results, handle data weh e miss, and write down your findings clear-clear. With strong focus on practical things weh them good, this course go give you power to use machine learning for real life situations with confidence. Register now so you fit change your career.
- Sabi prepare data well-well: Handle data weh e miss and arrange features dem correct.
- Check model results: Know how accurate e be and understand where e no strong and coefficients.
- Do exploratory data analysis: See data with your eye and check how things de relate to each other.
- Train and test models: Divide data, train models, and see how them de perform.
- Write down your findings: Talk about your conclusions and write data reports weh them complete.
from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Open up the power of machine learning with our proper Newcomers Course. This course na designed for tech people weh them de keen to make their skills strong. Enter inside di basics of machine learning, check out how to prepare data, and sabi linear regression well-well. Learn how to understand model results, handle data weh e miss, and write down your findings clear-clear. With strong focus on practical things weh them good, this course go give you power to use machine learning for real life situations with confidence. Register now so you fit change your career.
Elevify advantages
Develop skills
- Sabi prepare data well-well: Handle data weh e miss and arrange features dem correct.
- Check model results: Know how accurate e be and understand where e no strong and coefficients.
- Do exploratory data analysis: See data with your eye and check how things de relate to each other.
- Train and test models: Divide data, train models, and see how them de perform.
- Write down your findings: Talk about your conclusions and write data reports weh them complete.
Suggested summary
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.What our students say
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