About The Course:

Build Intelligent Applications. Master machine learning fundamentals in four hands-on courses.


  • Data Clustering Algorithms
  • Machine Learning
  • Classification Algorithms
  • Decision Tree
  • Python Programming
  • Machine Learning Concepts
  • Deep Learning
  • Linear Regression
  • Ridge Regression
  • Lasso (Statistics)
  • Regression Analysis
  • Logistic Regression
About this Specialization

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This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.

Applied Learning Project

Learners will implement and apply predictive, classification, clustering, and information retrieval machine learning algorithms to real datasets throughout each course in the specialization. They will walk away with applied machine learning and Python programming experience.

There are 4 Courses in this Specialization:

  • Machine Learning Foundations: A Case Study Approach
  • Machine Learning: Regression
  • Machine Learning: Classification
  • Machine Learning: Clustering & Retrieval
How to Enroll For This Course !

1. Sign Up on www.coursera.org

2. Enroll Here Click Here

3. Apply Coupon Code: No Code Needed

Machine Leaning Top Course: Click Here


Offered by University of Washington

Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.


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