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3.71 GB
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8a31f3e2fd190eeb0687023bd4a096a8cf73be0f
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25-02-2023 10:55
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Description

   < Step-by-step explanation of more than 1 hour of video lessons on Python, Machine Learning, and Data Science Course [2023]
   <Instant reply to your questions asked during studies>
   <Weekly live talks on Python, Machine Learning, and Data Science Course [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 Python, Machine Learning, and Data Science courses [2023]. The course has explained from basics of Python, Machine Learning, and Data Science Course [2023] and it finishes on a pro level. The real-life examples of Python, Machine Learning, and Data Science Courses [2023] have also been added to make the course valuable for 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 excellent 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 want to learn machine learning, data science, and python

Requirements

   Laptop, internet, pc, or smartphone

Last Updated 2/2023

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