Predictive Modelling crash course, Online BBA, Semester 5:
This subject covers the main predictive modelling techniques used in business: regression, classification, clustering and time-series forecasting.
- 13 video lessons
- 2h 31m
- Study notes
- 50 quiz questions
- Assignment
13 lessons in Predictive Modelling
Each lesson pairs one topic with a hand-picked video, trimmed to the part that teaches it.
About this subject
This subject covers the main predictive modelling techniques used in business: regression, classification, clustering and time-series forecasting. After it you will be able to interpret regression output, evaluate classifiers using a confusion matrix, segment customers with k-means, and produce simple sales forecasts.
- 1
Multiple Linear Regression and R-squared
Module 1, Regression: Multiple linear regression
Multiple Linear Regression: An Easy and Clear Beginner’s Guide· numiqo· 20 min
Study notes 5 quiz questionsWatch lesson - 2
Regression Assumptions and Diagnostics
Module 1, Regression: Assumptions and diagnostics
What are the main Assumptions of Linear Regression? | Top 5 Assumptions of Linear Regression· CampusX· 17 min
Study notes 5 quiz questionsWatch lesson - 3
Logistic Regression vs Linear Regression
Module 1, Regression: Logistic regression
StatQuest: Logistic Regression· StatQuest with Josh Starmer· 8 min
Study notes 5 quiz questionsWatch lesson - 4
Decision Trees Explained
Module 2, Classification: Decision trees
Decision and Classification Trees, Clearly Explained!!!· StatQuest with Josh Starmer· 18 min
Study notes 5 quiz questionsWatch lesson - 5
k-NN and Naive Bayes Classifiers
Module 2, Classification: k-NN, Naive Bayes
Lec-7: kNN Classification with Real Life Example | Movie Imdb Example | Supervised Learning· Gate Smashers· 10 min
Study notes 5 quiz questionsWatch lesson - 6
Confusion Matrix: Accuracy, Precision, Recall, F1
Module 2, Classification: Confusion matrix, precision, recall
Confusion Matrix ll Accuracy,Error Rate,Precision,Recall Explained with Solved Example in Hindi· 5 Minutes Engineering· 8 min
Study notes 5 quiz questionsWatch lesson - 7
ROC Curve and AUC
Module 2, Classification: ROC
ROC and AUC, Clearly Explained!· StatQuest with Josh Starmer· 15 min
Study notes 5 quiz questionsWatch lesson - 8
k-Means Clustering Step by Step
Module 3, Clustering: k-means
StatQuest: K-means clustering· StatQuest with Josh Starmer· 8 min
Study notes 5 quiz questionsWatch lesson - 9
Hierarchical Clustering and Dendrograms
Module 3, Clustering: Hierarchical clustering
Lec-14: Hierarchical Clustering | Agglomerative vs Divisive with examples· Gate Smashers· 6 min
Study notes 5 quiz questionsWatch lesson - 10
Customer Segmentation with Clustering
Module 3, Clustering: Customer segmentation
Customer Segmentation Using K-Means Clustering | Machine Learning | GeeksforGeeks· GeeksforGeeks· 16 min
Study notes 5 quiz questionsWatch lesson - 11
Moving Average Forecasting
Module 4, Forecasting: Moving averages
Forecasting: Moving Averages, MAD, MSE, MAPE· Joshua Emmanuel· 5 min
Study notesWatch lesson - 12
Exponential Smoothing Forecasting
Module 4, Forecasting: Exponential smoothing
Forecasting: Exponential Smoothing, MSE· Joshua Emmanuel· 5 min
Watch lesson - 13
ARIMA Basics
Module 4, Forecasting: ARIMA basics
ARIMA Model Explained | Time Series Forecasting· Egor Howell· 15 min
Watch lesson
Assignment
Predictive Modelling Problem Set: Regression, Classification, Clustering and Forecasting
Less scrolling. More passing.
- Free
Hand-picked video lessons
13 short lessons, each with the best YouTube explanation we could find, trimmed to the part that matters.
- Free login
Study notes
11 lessons come with a summary, key points, key terms and takeaways for quick revision.
- Free login
Quizzes
50 questions across the course, with the right answer and why, the moment you pick.
- Free login
Assignments
1 subject assignments with clear tasks, so you practise what each subject actually asks of you.
- Free login
Notebook
Write notes beside the video, stamped with the exact time, and jump back to that moment later.
- Free login
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.
The Online BBA live chat. Study together, live.
A live chat right beside the video, shared by everyone studying Online BBA. Ask a Predictive Modelling doubt mid-lesson, share a shortcut, celebrate a finished semester.
- Live chat beside every lesson
- One live chat for all of Online BBA
- Members-only stickers & GIFs
- One ₹19 pass opens every live chat
Online BBA live chat
Anyone else finding Predictive Modelling tricky? 😅
Lesson 2 cleared it up for me. Watch it before the quiz
Doing it now, thanks!
Starting Consumer Behaviour tonight if anyone wants to go together
More from Online BBA Semester 5
All subjects- Sem 5
Consumer Behaviour
Psychological and social influences on consumer decisions.
- 10 lessons
- 2h 53m
- Notes
- Quiz
- Sem 5
Business Analytics
Data management, data mining and Excel modelling for decisions.
- 12 lessons
- 2h 52m
- Notes
- Quiz
- Sem 5
Production and Operations Management
Designing, planning and controlling production and operations.
- 12 lessons
- 3h 52m
- Notes
- Quiz
- Sem 5General Mgmt
Economic Planning
Development theory and economic planning in India.
- 6 lessons
- 6h 14m
- Notes
- Quiz
- Sem 5General Mgmt · Digital Marketing
E-Commerce
Infrastructure, models, security and payments in e-commerce.
- 11 lessons
- 2h 24m
- Notes
- Quiz
- Sem 5
Entrepreneurship
From opportunity to launching, growing and exiting a venture.
- 11 lessons
- 2h 15m
- Notes
- Quiz
Predictive Modelling: common questions
This subject covers the main predictive modelling techniques used in business: regression, classification, clustering and time-series forecasting. After it you will be able to interpret regression output, evaluate classifiers using a confusion matrix, segment customers with k-means, and produce simple sales forecasts. It's the Predictive Modelling subject of Online BBA, Semester 5, in 13 lessons: Multiple Linear Regression and R-squared; Regression Assumptions and Diagnostics; Logistic Regression vs Linear Regression; Decision Trees Explained; k-NN and Naive Bayes Classifiers; Confusion Matrix: Accuracy, Precision, Recall, F1; ROC Curve and AUC; k-Means Clustering Step by Step; Hierarchical Clustering and Dendrograms; Customer Segmentation with Clustering; Moving Average Forecasting; Exponential Smoothing Forecasting; ARIMA Basics.
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 2h 31m of video across 13 lessons, plus time for notes and quizzes. Go at your own pace; your place is saved.
Yes: “Predictive Modelling Problem Set: Regression, Classification, Clustering and Forecasting”. 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 BBA, 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.