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Python Machine Learning Course Online (Self-Paced)
$1,895 30 Hours
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Overview
Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Prerequisite
This course requires students to be comfortable with Python and its data science libraries (NumPy and Pandas). If a student has not worked in Python before, we require a student to enroll in our Python for Data Science Bootcamp before taking this course.
Location
Online course – start anytime
Schedule
Self-Paced
Certification
Receive a Certificate of Completion
Software Included
1:1 Bonus Training See all courses that offer 1–on–1 Bonus training
Free Retake Within 1 Year See our class policies for more details
Workbook Included
Financing See our Climb Credit FAQ for more details
Target Audience
  • Confident Python developers who would like to explore machine learning hands-on
  • Developers with strong skills in another language, and some background working with data, looking to build machine learning models
What You’ll Learn
  • How to clean and balance your data using the Pandas library
  • Applying machine learning algorithms such as logistic regression and random forests using the scikit-learn library
  • Choosing good features to use as input for your algorithms
  • Properly splitting data into training, testing, and cross-validation sets
  • Important theoretical concepts like overfitting, variance, and bias
  • Evaluating the performance of your machine learning models

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