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Machine Learning Fundamentals with Python Learning Path

Machine Learning Fundamentals with Python is a Skill Path designed by DataCamp. It consists of five courses with 20 hours of learning content .

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Description

Machine learning is changing the world and if you want to be a part of the ML revolution, this is a great place to start! In this track, you’ll learn the fundamental concepts in Machine Learning.

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Included Courses

DataCamp

1. Supervised Learning with scikit-learn

George Boorman

4 hours

$300

218,385

DataCamp

2. Unsupervised Learning in Python

Benjamin Wilson

4 hours

$300

74,152

Python Scipy scikit-learn Cluster Analysis Data Analysis Data Modeling Data Sets Data Visualization

DataCamp

3. Linear Classifiers in Python

Mike Gelbart

4 hours

$300

27,092

Python scikit-learn Classification Data Modeling Functions Regression

DataCamp

4. Case Study: School Budgeting with Machine Learning in Python

Peter Bull

4 hours

$300

44,825

Python scikit-learn Data Modeling Data Sets Machine Learning Natural Language Processing

DataCamp

5. Introduction to Deep Learning in Python

Dan Becker

4 hours

Beginner

$300

187,458

Keras Python Classification Data Modeling Deep Learning Neural Networks Optimization