Semester 4Analytics

Machine Learning & AI for Business crash course, Online MBA, Semester 4:

This subject covers core machine learning ideas such as supervised and unsupervised learning, overfitting and cross-validation, and ensemble methods like…

  • 10 video lessons
  • 1h 45m
  • Study notes
  • 50 quiz questions
  • Assignment
Machine Learning & AI for Business crash course

10 lessons in Machine Learning & AI for Business

Each lesson pairs one topic with a hand-picked video, trimmed to the part that teaches it.

About this subject

This subject covers core machine learning ideas such as supervised and unsupervised learning, overfitting and cross-validation, and ensemble methods like random forest and boosting. It also covers NLP, sentiment analysis, generative AI and the ethics of deploying AI, so you can judge, scope and govern ML projects in a business setting.

  1. 1

    Supervised vs Unsupervised Learning

    Module 1, ML Fundamentals: Supervised vs unsupervised

    Lec-23: Supervised vs Unsupervised learning with real life example· Gate Smashers· 7 min

    Study notes 5 quiz questionsWatch lesson
  2. 2

    Train-Test Split and Overfitting

    Module 1, ML Fundamentals: Train-test split, Overfitting

    Machine Learning Fundamentals: Bias and Variance· StatQuest with Josh Starmer· 6 min

    Study notes 5 quiz questionsWatch lesson
  3. 3

    Cross-Validation Explained

    Module 1, ML Fundamentals: Cross-validation

    Machine Learning Fundamentals: Cross Validation· StatQuest with Josh Starmer· 6 min

    Study notes 5 quiz questionsWatch lesson
  4. 4

    Random Forest Explained

    Module 2, Ensemble Methods: Random forest

    StatQuest: Random Forests Part 1 - Building, Using and Evaluating· StatQuest with Josh Starmer· 9 min

    Study notes 5 quiz questionsWatch lesson
  5. 5

    Boosting (AdaBoost, Gradient Boosting)

    Module 2, Ensemble Methods: Boosting

    Boosting Machine Learning Tutorial | Adaptive Boosting, Gradient Boosting, XGBoost | Edureka· edureka!· 21 min

    Study notes 5 quiz questionsWatch lesson
  6. 6

    NLP Basics

    Module 3, Text & Generative AI: NLP basics

    Introduction to NLP | NLP Lecture 1 | End to End NLP Course· CampusX· 22 min

    Study notes 5 quiz questionsWatch lesson
  7. 7

    Sentiment Analysis for Business

    Module 3, Text & Generative AI: Sentiment analysis

    What is Sentiment Analysis?· IBM Technology· 10 min

    Study notes 5 quiz questionsWatch lesson
  8. 8

    LLMs and Generative AI in Business

    Module 3, Text & Generative AI: LLMs in business

    The Rise of Generative AI for Business· IBM Technology· 15 min

    Study notes 5 quiz questionsWatch lesson
  9. 9

    Bias and Explainability in AI

    Module 4, AI Ethics & Deployment: Bias, Explainability

    AI Bias | AI Bias And Ethics | AI Bias Examples | Algorithmic Bias | Gen AI | Simplilearn· Simplilearn· 6 min

    Study notes 5 quiz questionsWatch lesson
  10. 10

    ML Model Deployment

    Module 4, AI Ethics & Deployment: Model deployment

    Deploying a Machine Learning Model (in 3 Minutes)· Aced (formerly Exponent)· 3 min

    Study notes 5 quiz questionsWatch lesson

Assignment

ML Project Proposal Memo: Predicting Customer Churn and Mining Feedback

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What you get

Less scrolling. More passing.

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    Hand-picked video lessons

    10 short lessons, each with the best YouTube explanation we could find, trimmed to the part that matters.

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    Study notes

    10 lessons come with a summary, key points, key terms and takeaways for quick revision.

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    Quizzes

    50 questions across the course, with the right answer and why, the moment you pick.

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    Assignments

    1 subject assignments with clear tasks, so you practise what each subject actually asks of you.

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    Notebook

    Write notes beside the video, stamped with the exact time, and jump back to that moment later.

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    Progress that follows you

    Completed lessons, quiz scores and where you stopped, saved to your account on every device.

  • Live chat pass

    Live chat

    A members-only live chat beside every lesson: doubts, tips, stickers and GIFs with your batch. One ₹19 pass opens every live chat.

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The Online MBA live chat. Study together, live.

A live chat right beside the video, shared by everyone studying Online MBA. Ask a Machine Learning & AI for Business doubt mid-lesson, share a shortcut, celebrate a finished semester.

  • Live chat beside every lesson
  • One live chat for all of Online MBA
  • Members-only stickers & GIFs
  • One ₹19 pass opens every live chat
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Machine Learning & AI for Business: common questions

This subject covers core machine learning ideas such as supervised and unsupervised learning, overfitting and cross-validation, and ensemble methods like random forest and boosting. It also covers NLP, sentiment analysis, generative AI and the ethics of deploying AI, so you can judge, scope and govern ML projects in a business setting. It's the Machine Learning & AI for Business subject of Online MBA, Semester 4, in 10 lessons: Supervised vs Unsupervised Learning; Train-Test Split and Overfitting; Cross-Validation Explained; Random Forest Explained; Boosting (AdaBoost, Gradient Boosting); NLP Basics; Sentiment Analysis for Business; LLMs and Generative AI in Business; Bias and Explainability in AI; ML Model Deployment.

Yes. Every video lesson is free to watch without an account. A free login unlocks study notes, quizzes, the assignment, a notebook and progress that syncs across devices.

About 1h 45m of video across 10 lessons, plus time for notes and quizzes. Go at your own pace; your place is saved.

Yes: “ML Project Proposal Memo: Predicting Customer Churn and Mining Feedback”. It comes after the last lesson, with a brief, clear tasks and how the work is judged.

A members-only live chat beside the video, shared by everyone studying Online MBA, where learners ask doubts, share tips and react with stickers and GIFs. One ₹19 pass, paid once from your InsideEdge wallet, opens the live chat for every degree.

No. It's a crash course to help you understand and revise the subject quickly. Use it alongside your official study material and assignments.