Python, Machine Learning, and Data science Course in 2023 

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  • Post last modified:April 5, 2023
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Python, NumPy, deep learning, AI, machine learning, simple linear regression, and data science

Python, Machine Learning, and Data science Course

For Python, Machine Learning, and Data Science courses [2023], this course has been created. The course has covered the fundamentals of Python, Machine Learning, and Data Science [2023] before concluding on a professional level. To make the course useful for students, real-world examples from the Python, Machine Learning, and Data Science Courses [2023] have also been added.

What you will discover

  • Learning Machines
  • Machine intelligence
  • machine learning under supervision
  • Controlled ML Model
  • Describe regression.
  • Basic LR
  • Multi-LR
  • Regression using Polynomials
  • Development of Models
  • Preprocessing of Data
  • Code Regression
  • Scripting in Scikit
  • gathering of data
  • Division of Data
  • Multiple Scatter Plot
  • SML KNN-Model
  • Choice Tree
  • SML data visualization
  • Support Vector Theory.
  • dispersed plots
  • Matplotlib Errors
  • Colors that are Dispersed
  • Scatter plot vs. a plot
  • Plotting bars
  • Several-Bar Plot
  • Subplots and Stacked Plots
  • Hexagonal Plot
  • a data set
  • Distribution of Data

What you’ll discover

  • Learning Machines
  • Regression Definition
  • Uncomplicated Linear Regression
  • both Python and data science

Exist any prerequisites or course requirements?

  • smartphone, laptop, or computer
  • Who this course is for: Anyone interested in learning Python, data science, and machine learning

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