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IBM - Machine Learning With Python 

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Machine Learning With Python
 at 
Skillup 
Overview

Discover how to uncover hidden insights, predict future trends, and create prototypes

Duration

3 weeks

Total fee

7,399

Mode of learning

Online

Official Website

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Credential

Certificate

Machine Learning With Python
 at 
Skillup 
Highlights

  • Earn a certificate from IBM
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Machine Learning With Python
 at 
Skillup 
Course details

Skills you will learn
Who should do this course?
  • Individuals looking to learn how to work with different kinds of data
  • Individuals wanting to perform analysis on data
  • Individuals wanting an introduction to machine learning with Python
What are the course deliverables?
  • Statistical modeling
  • Real-life examples of machine learning
  • Python libraries
  • Popular algorithms: regression, classification, and clustering
  • Recommender systems: content-based and collaborative filtering
  • Popular models: train/test split, gradient descent, and mean squared error
More about this course
  • This Machine Learning with Python course dives into the basics of machine learning using an approachable and well-known programming language
  • You'll learn about supervised vs unsupervised learning, look into how statistical modeling relates to machine learning, and do a comparison of each
  • In this course, you will explore many algorithms and models, including classification, regression, clustering, and dimensional reduction
  • You will also build your understanding of popular models such as train/test split, root mean wquared error, and random forests

Machine Learning With Python
 at 
Skillup 
Curriculum

Module 1 - Machine Learning

Intro to Machine Learning

Python for Machine Learning

Supervised vs Unsupervised

Graded Review Questions

Module 2 - Regression

Intro to Regression

Simple Linear Regression

Lab: Simple Linear Regression

Multiple Linear Regression

Model Evaluation

Evaluation Metrics

Non-Linear Regression

Lab: Non-Linear Regression

Graded Review Questions

Module 3 - Classification

Intro to Classification

K-Nearest Neighbors

Evaluation Metrics

Lab: KNN

Intro to Decision Trees

Building Decision Trees

Module 4 - Clustering

Intro to Clustering

K-Means Clustering

More on K-Means

Lab: K-Means

Hierarchical Clustering

More on Hierarchical Clustering

Lab: Hierarchical Clustering

DBSCAN Clustering

Module 5 - Recommender Systems

Recommender Systems

Content-based

Lab: Content-based

Collaborative Filtering

Lab: Collaborative Filtering

Graded Review Questions

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Machine Learning With Python
 at 
Skillup 
Faculty details

Saeed Aghabozorgi
Kevin Wong

Machine Learning With Python
 at 
Skillup 
Entry Requirements

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  • Not mentioned

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