MACHINE LEARNING WITH PYTHON BY IBM – FREE IBM COURSES


MACHINE LEARNING WITH PYTHON BY IBM – FREE IBM COURSES


Machine Learning with Python by IBM

Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This free Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.




ABOUT THIS COURSE

This Machine Learning with Python course dives into the basics of Machine Learning using Python, 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.

Look at real-life examples of Machine Learning and how it affects society in ways you may not have guessed!

Explore many algorithms and models:
  • Popular algorithms: Classification, Regression, Clustering, and Dimensional Reduction.
  • Popular models: Train/Test Split, Root Mean Squared Error, and Random Forests.

More important, you will transform your theoretical knowledge in to practical skill using many hands-on labs.

Get ready to do more learning than your machine!

COURSE SYLLABUS

Module 1 - Introduction to Machine Learning
  • Applications of Machine Learning
  • Supervised vs Unsupervised Learning
  • Python libraries suitable for Machine Learning

Module 2 - Regression
  • Linear Regression
  • Non-linear Regression
  • Model evaluation methods

Module 3 - Classification
  • K-Nearest Neighbor
  • Decision Trees
  • Logistic Regression
  • Support Vector Machines
  • Model Evaluation

Module 4 - Unsupervised Learning
  • K-Means Clustering
  • Hierarchical Clustering
  • Density-Based Clustering

Module 5 - Recommender Systems
  • Content-based recommender systems
  • Collaborative Filtering


PREREQUISITES FOR THIS COURSE


COURSE CODE:

ML0101ENv3

COURSE LEVEL:
Intermediate

TIME TO COMPLETE:
12 Hours

BADGE:
Machine Learning with Python

RECOMMENDED SKILLS PRIOR TO TAKING THIS COURSE

You have to do hands-on lab for this course. The tool that you use for hands-on is called JupyterLab and it is one of the most popular tools used by data scientists. If you are not familiar with JupyterLab, I would recommend that you take our free Data Science Hands-on with Open SourceTools.

This hands-on lab requires that you have working knowledge of Python programming language as it applies to data analytics. If you don't feel you have sufficient skill in Data Analysis with Python, I recommend you take Data Analysis with Python courses.


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Join Our Telegram Group (Freshers) : Click Here

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MACHINE LEARNING WITH PYTHON BY IBM – FREE IBM COURSES MACHINE LEARNING WITH PYTHON BY IBM – FREE IBM COURSES Reviewed by Jobs Barrel on May 27, 2020 Rating: 5

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