01-16-2024, 01:51 PM
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![[Image: NJnc.jpg]](https://pikky.net/medium/NJnc.jpg)
Published 1/2023
Created by Tayyab Rashid,Tech 786
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 61 Lectures ( 7h 9m ) | Size: 2.88 GB
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Machine Learning, artificial intelligence, supervised machine learning, simple linear regression, and KNN model
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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
Requirements
PC, Laptop, or Smartphone
Description
< Step-by-step explanation of more than 7 hours of video lessons on Supervised Machine Learning: Complete Masterclass[2023]><Instant reply to your questions asked during lessons><Weekly live talks on Supervised Machine Learning: Complete Masterclass[2023]. You can raise your questions in a live session as well><Helping materials like notes, examples, and exercises><Solution of quizzes and assignments> 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 LearningArtificial IntelligenceSupervised Machine LearningSupervised ML ModelWhat is Regression?Simple LRMulti-LRPolynomial RegressionModel DevelopmentData PreprocessingRegression CodingScikit ProgrammingCollection of DataSplitting of DataPoly-Scatter PlotKNN-Model for SMLDecision TreeData Visualization for SMLSupport Vector mechanics. scatter PlotsMatplotlib GlitchesColors in ScatteringPlot Vs Scatter PlotBar PlottingMultiple Bar PlotStacked and Sub PlotsHistogram PlotData SetData DistributionAllah 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 ChauhdryTayyab Rashid
Who this course is for
Those who wants to learn supervised machine learning algorithms in detailed.
Homepage
Published 1/2023
Created by Tayyab Rashid,Tech 786
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 61 Lectures ( 7h 9m ) | Size: 2.88 GB
[/center]
[center]
Machine Learning, artificial intelligence, supervised machine learning, simple linear regression, and KNN model
[/center]
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
Requirements
PC, Laptop, or Smartphone
Description
< Step-by-step explanation of more than 7 hours of video lessons on Supervised Machine Learning: Complete Masterclass[2023]><Instant reply to your questions asked during lessons><Weekly live talks on Supervised Machine Learning: Complete Masterclass[2023]. You can raise your questions in a live session as well><Helping materials like notes, examples, and exercises><Solution of quizzes and assignments> 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 LearningArtificial IntelligenceSupervised Machine LearningSupervised ML ModelWhat is Regression?Simple LRMulti-LRPolynomial RegressionModel DevelopmentData PreprocessingRegression CodingScikit ProgrammingCollection of DataSplitting of DataPoly-Scatter PlotKNN-Model for SMLDecision TreeData Visualization for SMLSupport Vector mechanics. scatter PlotsMatplotlib GlitchesColors in ScatteringPlot Vs Scatter PlotBar PlottingMultiple Bar PlotStacked and Sub PlotsHistogram PlotData SetData DistributionAllah 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 ChauhdryTayyab Rashid
Who this course is for
Those who wants to learn supervised machine learning algorithms in detailed.
Homepage
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