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Building Machine Learning Solutions with scikit-learn

  • Number of Courses11 courses
  • Duration28 hours
  • Skill IQ available Skill IQ

This skill teaches learners how to build machine learning solutions using Python and the pervasive scikit-learn package, including application of classifcation, regression, and clustering.

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.

Building Your First scikit-learn Solution

  • by Janani Ravi
  • 2h 7m 34s Duration
  • 4.7  (132)

Building Classification Models with scikit-learn

  • by Janani Ravi
  • 2h 34m 11s Duration
  • 4.6  (58)

Building Regression Models with scikit-learn

  • by Janani Ravi
  • 2h 42m 35s Duration
  • 5.0  (45)

Building Clustering Models with scikit-learn

  • by Janani Ravi
  • 2h 33m 26s Duration
  • 4.6  (35)

Intermediate

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

Building Neural Networks with scikit-learn

  • by Janani Ravi
  • 1h 56m 6s Duration
  • 4.3  (15)

Reducing Dimensions in Data with scikit-learn

  • by Janani Ravi
  • 2h 29m 25s Duration
  • 4.5  (26)

Employing Ensemble Methods with scikit-learn

  • by Janani Ravi
  • 2h 15m Duration
  • 4.8  (19)

Advanced

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

Preparing Data for Modeling with scikit-learn

  • by Janani Ravi
  • 3h 40m 50s Duration
  • 3.9  (17)

Scaling scikit-learn Solutions

  • by Janani Ravi
  • 2h 54m 5s Duration
  • 4.4  (17)

Model Evaluation and Selection Using scikit-learn

  • by Chetan Prabhu
  • 1h 17m 15s Duration
  • 4.3  (19)

Supplemental Learning

Enhance the knowledge learned previously by watching this supplemental content.

Building Machine Learning Models in Python with scikit-learn

  • by Janani Ravi
  • 3h 13m 21s Duration
  • 4.5  (125)

Learn with the best

Janani Ravi
Janani Ravi
Janani has a Masters degree from Stanford and worked for 7+ years at Google. She was one of the original engineers on Google Docs and holds 4 patents for its real-time collaborative editing framework. After spending years working in tech in the Bay Area, New York, and Singapore at companies such as Microsoft, Google, and Flipkart, Janani finally decided to combine her love for technology with her passion for teaching. She is now the co-founder of Loonycorn, a content studio focused on providing ... more
Chetan Prabhu
Chetan Prabhu
Chetan is an accomplished data scientist who has worked across a variety of industries, including financial services, retail, advertising, and manufacturing. Most recently, he worked as a data scientist at Facebook, and is currently a Director of Data Science at United Technologies, where he is in a leadership role. Chetan has an undergraduate degree in engineering from Cooper Union, an MBA from Yale University, and a Masters degree in Statistics from Baruch College. He is a life-long learner, a... more

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