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Choosing the Right Machine Learning Algorithm

Overview of different machine learning algorithms, their pros & cons, and use cases where different algorithms fit
Course from Udemy
 63 students enrolled
 en
1. Overview of different machine learning algorithms
2. Pros and cons of different machine learning algorithms
3. Practical use cases of different machine learning algorithms
4. Figure out which machine learning algorithms works for a particular business problem

This course covers the basics of the following algorithms:

  • Linear Regression

  • Logistics Regression

  • Decision Trees

  • K-Means

  • PCA

  • Support Vector Machines

  • Random Forest

  • Apriori

  • Adaptive Boosting

  • Naïve Bayes

  • Neural Networks

For each of these, the course dives into the underlying concept, pros & cons, and the different practical business use cases where each of these algorithms work well. For those interested in getting their hands dirty, there are also sample implementations of the algorithms in Python

Choosing the Right Machine Learning Algorithm
$ 49.99
per course
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