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Beginner Machine Learning in Python + ChatGPT Prize [2024]
Beginner Machine Learning in Python + ChatGPT Prize [2024] Course
Build a solid foundation in Machine Learning: Linear Regression, Logistic Regression and K-Means Clustering in Python
This Beginner Machine Learning in Python + ChatGPT Prize [2024] course has 3 main sections:
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.
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
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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
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