IBM Introduction to Machine Learning Specialization
Master essential machine learning skills with IBM experts through hands-on projects and real-world applications.
Master essential machine learning skills with IBM experts through hands-on projects and real-world applications.
This comprehensive specialization from IBM helps you develop practical machine learning skills through hands-on projects and real-world applications. The program covers essential topics from exploratory data analysis to supervised and unsupervised learning techniques. You'll learn to implement various machine learning algorithms, evaluate models, and communicate findings effectively. The curriculum is designed for both technical practitioners and business professionals looking to leverage machine learning in their careers.
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বাংলা, ଓଡ଼ିଆ, پښتو, 3 more
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What you'll learn
Learn to implement and evaluate machine learning algorithms
Master data preparation and feature engineering techniques
Develop skills in supervised and unsupervised learning
Gain expertise in regression and classification methods
Understand clustering and dimensionality reduction
Apply machine learning to real-world business problems
Skills you'll gain
This course includes:
80 Hours PreRecorded video
Projects and hands-on assignments across 4 courses
Access on Mobile
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 courses in this program
Exploratory Data Analysis for Machine Learning
Course 1 · 14 Hours to complete · 5 modules
Supervised Machine Learning: Regression
Course 2 · 20 Hours to complete · 6 modules
Supervised Machine Learning: Classification
Course 3 · 24 Hours to complete · 6 modules
Unsupervised Machine Learning
Course 4 · 23 Hours to complete · 7 modules
Fee Structure
Payment options
Financial Aid
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.