Supervised Machine Learning: Complete Masterclass [2023]
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Learn Supervised Machine Learning and improve your data science skills with this comprehensive course. From basics to advanced techniques, including regression, data preprocessing, coding, and visualization. Taught by a Ph.D. instructor with real-life examples. Enroll now and become confident in data science!
What you’ll learn
- Machine Learning
- Artificial Intelligence
- Supervised Machine Learning
- Supervised ML Model
- What is Regression?
- Simple LR
- Multi-LR
- Polynomial Regression
- Model Development
- Data Preprocession
- 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
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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.
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