Machine Learning with Python Offered by IBM

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Offered byIBM

Machine Learning with Python Offered by IBM
at
IBM
Overview

Gain a comprehensive overview of Machine Learning with Python Offered by IBM

Duration	12 hours
Total fee	Free
Mode of learning	Online
Difficulty level	Intermediate
Official Website	Explore Free Course
Credential	Certificate

Machine Learning with Python Offered by IBM
at
IBM
Highlights

Earn a Certification after Completion

Machine Learning with Python Offered by IBM
at
IBM
Course details

Skills you will learn

Python

What are the course deliverables?

Describe the various types of Machine Learning algorithms and when to use them
Compare and contrast linear classification methods including multiclass prediction, support vector machines, and logistic regression
Write Python code that implements various classification techniques including K-Nearest neighbors (KNN), decision trees, and regression trees
Evaluate the results from simple linear, non-linear, and multiple regression on a data set using evaluation metrics

More about this course

This Course will help you to learn application of machine learning (ML) including when to use different ML techniques such as regression, classification, clustering and recommender systems. The individual has acquired the skills to use different machine learning libraries in Python, mainly Scikit-learn and Scipy, to generate and apply different types of ML algorithms such as decision trees, logistic regression, k-means, KNN, DBSCCAN, SVM and hierarchical clustering

Machine Learning with Python Offered by IBM
at
IBM
Curriculum

Introduction to Machine Learning

Regression

Classification

Linear Classification

Clustering

Final Exam and Project

Machine Learning with Python Offered by IBM
at
IBM
Faculty details

SAEED AGHABOZORGI

Saeed Aghabozorgi, PhD is a Sr. Data Scientist in IBM with a track record of developing enterprise level applications that substantially increases clients’ ability to turn data into actionable knowledge

Joseph Santarcangelo

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.