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1 min
Use cases in Various Industries
7 min
The Optimization Process in Operations Research
5 min
Introduction to Optimization : Linear Programming
- Unlock the secrets to boosting your machine learning models. Master the techniques like gradient descent,
hyperparameter tuning, and more.
Created by Selva Prabhakaran
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15 Video Lessons
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English
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English captions
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Course Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts
What you will learn
01
Introduction and importance of
Introduction and importance of
Optimization techniques
in Datascience
02
PuLP library for solving
PuLP library for solving
optimization problems in Python
03
LP concepts like Graphical
LP concepts like Graphical
Method and Simplex Method
04
Practical applications,
Practical applications,
including demand forcasting
and inventory Optimization
05
Optimization tools
Optimization tools
and techniques
Course Curriculum
5 Modules | 23 Sessions | 1 hour 24 min Total Time
Introduction to Operations Research
Sessions: 4 | Time: 24 min
Types of Optimization Techniques
Sessions: 7| Time: 9 min
Deep Dive into PuLP
Sessions: 4| Time: 16 min
Types of Constraints
Sessions: 3| Time: 5 min
Linear Programming (LP)
Sessions: 5| Time: 30 min
Requirements
- Basic Maths and Logical Reasoning
- Curiosity about Data Science
- Learning Mindset
Who should attend this course?
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Future Data Scientists and ML Engineers
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Product Managers, Program Managers, Scrum Masters working in ML/Data science project
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Software/Data engineers interested in quantitative analysis
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Software engineers interfacing with data science team
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Executives who have to lead or interact with Data Scientists
Instructor
Selva Prabhakaran Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this project!
I head the Data Science team for a global Fortune 500 company and over the last
10 years of my data science experience I’ve deployed 20+ global products. I’m
also the Founder & Chief Author of Machine Learning Plus, which has over 4M
annual readers.
I specialize in covering the in-depth intuition and maths of any concept or
algorithm. And based on my existing student requests, I’ve put up the series of
courses and projects with detailed explanations – just like an on the job
experience. Hope you love it!
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4.5+Instructor rating
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200+ reviews
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10K+students
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15+ Courses
Validity Period: 365 days
Already Subscribed? Click here to access your courses
- Workshop Certificate
- Code Walkthroughs
- Practice Data
- Money Back if not satisfied
- Algorithms explanation
- 2h 26m of Self-paced videos
- Downloadable resources
- Q&A sessions with experts