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University of Colorado Boulder - Machine Learning: Theory and Hands-on Practice with Python Specialization 

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  • Public/Government Institute

Machine Learning: Theory and Hands-on Practice with Python Specialization
 at 
Coursera 
Overview

Duration

4 months

Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Machine Learning: Theory and Hands-on Practice with Python Specialization
Table of content
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  • Overview
  • Highlights
  • Course Details
  • Curriculum

Machine Learning: Theory and Hands-on Practice with Python Specialization
 at 
Coursera 
Highlights

  • Earn a Certificate upon completion
Details Icon

Machine Learning: Theory and Hands-on Practice with Python Specialization
 at 
Coursera 
Course details

Skills you will learn
More about this course
  • In the Machine Learning specialization, we will cover Supervised Learning, Unsupervised Learning, and the basics of Deep Learning
  • You will apply ML algorithms to real-world data, learn when to use which model and why, and improve the performance of your models
  • Starting with supervised learning, we will cover linear and logistic regression, KNN, Decision trees, ensembling methods such as Random Forest and Boosting, and kernel methods such as SVM
  • Then we turn our attention to unsupervised methods, including dimensionality reduction techniques (e.g., PCA), clustering, and recommender systems
  • We finish with an introduction to deep learning basics, including choosing model architectures, building/training neural networks with libraries like Keras, and hands-on examples of CNNs and RNNs
  • This specialization can be taken for academic credit as part of CU Boulder's Master of Science in Data Science (MS-DS) degree offered on the Coursera platform
Read more

Machine Learning: Theory and Hands-on Practice with Python Specialization
 at 
Coursera 
Curriculum

Introduction to Machine Learning: Supervised Learning

Unsupervised Algorithms in Machine Learning

Introduction to Deep Learning

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Machine Learning: Theory and Hands-on Practice with Python Specialization
 at 
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