Building Machine Learning Solutions with scikit-learn - Pluralsight
60 πŸ‘€
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Harry Potter

Mar 17, 2024

Building Machine Learning Solutions with scikit-learn - Pluralsight

Courses in this path

Beginner - Experience the machine learning workflow as implemented in scikit-learn, and use that workflow to build simple classification, regression, and clustering models.

1. Building Your First scikit-learn Solution

2. Building Classification Models with scikit-learn

3. Building Regression Models with scikit-learn

4. Building Clustering Models with scikit-learn

Intermediate - Build sophisticated neural network models, apply dimension reduction techniques, and combine model approaches.

1. Building Neural Networks with scikit-learn

2. Reducing Dimensions in Data with scikit-learn

3. Employing Ensemble Methods with scikit-learn

Advanced - Select the appropriate model for your business problem and data, and evaluate the effectiveness of that model.

1. Preparing Data for Modeling with scikit-learn

2. Scaling scikit-learn Solutions

3. Model Evaluation and Selection Using scikit-learn

What you will learn:

  • Design and implement common machine learning solutions using scikit-learn
  • Evaluation and validation of scikit-learn machine learning models

Experience

  • Data Literacy
  • Data Analytics Literacy
  • Statistics
  • Python programming

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Building Machine Learning Solutions ❀️‍πŸ”₯
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