Explore practical coding of basic machine learning models using Python. Gain insights into algorithms like linear regression, logistic regression, SVM, KNN, and decision trees.

Machine Learning with Python A Practical Beginners’ Guide by Oliver Theobald-01.png

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This course teaches you how to code basic machine learning models. The content is designed for beginners with general knowledge of machine learning, including common algorithms such as linear regression, logistic regression, SVM, KNN, decision trees, and more. If you need a refresher, we have summarized key concepts from machine learning, and there are overviews of specific algorithms dispersed throughout the course.

A Practical Guide to Machine Learning with Python

It’s important for the independent variables to be strongly correlated with the dependent variable and one or more of the other independent variables. True or False?

It’s important for the independent variables to be strongly correlated with the dependent variable and one or more of the other independent variables. True or False?

Linear regression can be used for predicting:

Linear regression can be used for predicting:

Linear regression can be used even if the dataset has missing values. True or False?

Linear regression can be used even if the dataset has missing values. True or False?

Which evaluation technique can we use to evaluate the performance of a regression model?

Which evaluation technique can we use to evaluate the performance of a regression model?

What is the price of a three-bedroom house with a y-intercept of 100,000 and a coefficient of 100,000 for each bedroom?

What is the price of a three-bedroom house with a y-intercept of 100,000 and a coefficient of 100,000 for each bedroom?

Quiz

Introduction to Course

Introduction to Machine Learning

Exploratory Data Analysis

Data Scrubbing

Pre-Model Algorithms

Split Validation

Model Design

Linear Regression

Logistic Regression

Support Vector Machines

K-Nearest Neighbors

Tree-Based Methods

Conclusion

Appendix

Quiz