Udemy – Beginner Machine Learning in Python + ChatGPT Prize [2024] 2023-6

Beginner Machine Learning in Python + ChatGPT Prize [2024], This is Machine Learning in Python Level 1… and we will help you get started. My name is Kirill Eremenko, I’m a Data Science instructor with over 7 years of experience, and together with my co-instructor Hadelin de Ponteves we have taught over 2M students Worldwide. And now, we’ve created this course to help YOU get on track with Machine Learning and start applying it in YOUR career. First, we will dive into Regression, where we will learn to predict continuous variables and we will cover foundational concepts like Simple and Multiple Linear Regression, Ordinary Least Squares, Testing your Model, R-Squared and Adjusted R-Squared. In the second section you will master Logistic Regression, which is by far the most popular model for Classification.

We will learn all about Maximum Likelihood, Feature Scaling, The Confusion Matrix, Accuracy Ratios… and you will build your very first Logistic Regression! The third and final section is all about Clustering. We will investigate the concepts of unsupervised learning and you will practice using K-Means Clustering to discover previously unseen patterns in your data. Well, in this course not only will you learn the theory behind all of 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 will get Python code templates which you can download and keep. These are invaluable tools which you can apply in your own projects right away.

What you’ll learn

• Machine Learning
• The Machine Learning Process
• Regression
• Ordinary Least Squares
• Simple Linear Regression
• Splitting your data into a Training set and a Test set
• Multiple Linear Regression
• R-Squared
• Adjusted R-Squared
• Classification
• Maximum Likelihood
• Feature Scaling
• Confusion Matrix
• Accuracy
• Clustering
• K-Means Clustering
• The Elbow Method
• K-Means++
• Build Machine Learning models in Python
• Make Predictions

Who this course is 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 professionals
• Machine Learning professionals
• Anyone who wants to add Machine Learning to their CV or career toolkit

Specificatoin of Beginner Machine Learning in Python + ChatGPT Prize [2024]

• Publisher : Udemy
• Teacher : Hadelin de Ponteves , Kirill Eremenko , SuperDataScience Team , Ligency Team
• Language : English
• Level : Beginner
• Number of Course : 53
• Duration : 3 hours and 40 minutes

Content on 2024-1

Requirements

• Every single line of code will be fully explained so there are no prerequisites for coding skills
• This is a foundational course, so no prior knowledge of Data Science is required
• Some high-school level mathematics 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 another IDE

Pictures

Sample Clip

Installation Guide

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Subtitle : English

Quality: 720p

Download Links

Download – 527 MB

File size

527 MB