Project: Inventory Planning and Holding Cost Optimization
Contact us

Project: Inventory Planning and Holding
Cost Optimization

  • Unlock the secrets to boosting your machine learning models. Master the techniques like gradient descent,
    hyperparameter tuning, and more.

Created by Selva Prabhakaran

  • 6 Video Lessons

  • English

  • English captions

What you will learn

01

Introduction and importance of optimization techniques in data science

02

PuLP library for solving optimization problems in Python

03

LP concepts like Graphical Method and Simplex Method

04

Practical applications, including demand forecasting and inventory optimization

05

Optimization tools and techniques

Course Curriculum

Requirements

  • Courses Page1 Basics of Python
  • Courses Page1 Foundational knowledge of Data Science
  • Courses Page1 High school maths

Who should attend this course?

  • Data Science Aspirants

  • Data Science Professionals

  • Software/Data engineers interested in quantitative analysis

  • Professionals working with large datasets

  • Data analysts, economists, researchers

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!

  • 4.5+Instructor rating

  • 200+ reviews

  • 75K+students

  • 50+ Courses