Supervised Machine Learning: Complete Masterclass [2023]

This course has been designed for Supervised Machine Learning. The course has explained from basics of Supervised Machine Learning and it finishes on a pro level. The real-life examples of Supervised Machine Learning have been added as well to make the course valuable for the learners.

What  you will learn:

• Machine Learning

• Artificial Intelligence

• Supervised Machine Learning

• Supervised ML Model

• What is Regression?

• Simple LR

• Multi-LR

• Polynomial Regression

• Model Development

• Data Preprocessing

• Regression Coding

• Scikit Programming

• Collection of Data

• Splitting of Data

• Poly-Scatter Plot

• KNN-Model for SML

• Decision Tree

• Data Visualization for SML

• Support Vector mechanics.

• scatter Plots

• Matplotlib Glitches

• Colors in Scattering

• Plot Vs Scatter Plot

• Bar Plotting

• Multiple Bar Plot

• Stacked and Sub Plots

• Histogram Plot

• Data Set

• Data Distribution

  Allah Ditta is your lead instructor – a Ph.D. and lecturer making a living from teaching Supervised Machine Learning, and data science. 

You’ll get premium support and feedback to help you become more confident with data science!

We can’t wait to see you on the course!

Enroll now, and we’ll help you improve your data science skills!

AD Chauhdry

Tayyab Rashid

Who this course is for:

• Those who wants to learn supervised machine learning algorithms in detailed.