Udemy – Beginner Machine Learning in Python + ChatGPT Prize (2024) 2023-6 – Downloadly

Description

Beginner Machine Learning in Python + ChatGPT Prize (2024), it Machine Learning in Python Level 1 is… and we’ll help you get started. My The name is Kirill Eremenko, I am a Data Science instructor with over 7 years of experience, and together with my co-instructor Hadelin de Ponteves we have taught over 2 million students worldwide. And Now, we’ve created this course to help you get on track with machine learning and apply it to your career. FirstWe will dive into regression, where we will learn how to predict continuous variables and we will cover fundamental concepts such as simple and multiple linear regression, ordinary least squares, testing your model, R-squared, and adjusted R-squared. In In the second section you will master logistic regression, by far the most popular model for classification.

We will learn all about maximum likelihood, feature scaling, confusion matrix, accuracy ratio… and you will build your first logistic regression! third And the final section is all about clustering. We’ll examine the concepts of unsupervised learning and you’ll practice using K-means clustering to discover previously undiscovered patterns in your data. WellIn this course you will not only learn the theory behind all these machine learning models, but you will also practice applying them in different scenarios so that you are prepared for the real world. Plus, You’ll find Python code templates that you can download and keep. These are invaluable tools that you can immediately apply to your projects.

What you will learn

  • machine learning
  • Machine Learning Process
  • Return
  • ordinary least squares
  • Simple Linear Regression
  • Splitting your data into a training set and a testing set
  • multiple linear regression
  • r squared
  • Adjusted R-squared
  • Classification
  • maximum likelihood
  • Feature Scaling
  • confusion matrix
  • accuracy
  • Clustering
  • K-means clustering
  • Elbow Method
  • K-Means++
  • Build a Machine Learning Model in Python
  • guess it

Who is this course for

  • Anyone interested in data science
  • Anyone who wants to become a Data Scientist
  • Anyone interested in machine learning
  • Anyone who wants to become a ML or AI Engineer
  • Data Science Professional
  • Machine Learning Professionals
  • Anyone who wants to add machine learning to their CV or career toolkit

Beginner Machine Learning Specification in Python + ChatGPT Prize (2024)

Material on 2024-1

Beginner Machine Learning in Python + ChatGPT Prize (2024)

Requirements

  • Each line of code will be explained thoroughly so there is no prerequisite for coding skills
  • This is a foundational course, so no prior knowledge of data science is required
  • Some high-school level math knowledge is recommended but not required
  • We use Google Colab for coding in Python which is very intuitive, but you can also use Jupyter or any other IDE

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Beginner Machine Learning in Python + ChatGPT Prize (2024)

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