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IITM Notes

Javets70/iitm_notes

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Foundational 2
Foundational 2
- Stats2
  Stats2
  - Week 1
    Week 1
    
    Discrete Random Variables
    
    AQ Solutions
  - Week 2
    Week 2
    
    Independent Random Variables
    
    Extra Useful Content
    
    AQ Solutions
  - Week 3
    Week 3
    
    Expectation of Random Variables
    
    AQ Solutions AQ Solutions
    Table of contents
    
    AQ 3.1
    
    AQ 3.2
    
    AQ 3.4
    
    AQ 3.5
    
    AQ 3.6
    
    AQ 3.7
  - Week 4
    Week 4
    
    Continuous Random Variables
    
    AQ Solutions
  - Week 5
    Week 5
    
    Functions of Continuous Random Variables
    
    AQ Solutions
  - Week 6
    Week 6
    
    Joint Continuous Random Variables
    
    AQ Solutions
  - Week 7
    Week 7
    
    Empirical Distributions and Descriptive Statistics
  - Week 8
    Week 8
    
    Central Limit Theorem
    
    AQ Solutions
  - Week 9
    Week 9
    
    Parameter Estimation
- Maths2
  Maths2
  - Week 1
    Week 1
    
    Vectors and Matrices
    
    Determinants
  - Week 2
    Week 2
    
    Cramer's Rule
    
    Invertible Coefficient Matrix
    
    Echelon Form
    
    Row Reduction
    
    Gaussian Elimination
  - Week 3
    Week 3
    
    Vector Spaces
  - Week 4
    Week 4
    
    Vector Basis
  - Week 5
    Week 5
    
    Nullspace and Nullity
DS Diploma
DS Diploma
- Machine Learning Foundations
  Machine Learning Foundations
  - Week 3
    Week 3
    
    Four Fundamental Subspaces
  - Linear Algebra and Its Applications (Solutions)
    Linear Algebra and Its Applications (Solutions)
    
    Whats this for?
    
    Matrices and Gaussian Elimination (Chapter 1)
- Machine Learning Techniques
  Machine Learning Techniques
  - Solved PYQ
    Solved PYQ
    
    Quiz 1
    
    Quiz 2
  - Week 1
    Week 1
    
    Principal Component Analysis (PCA)
  - Week 2
    Week 2
    
    Kernel PCA
  - Week 3
    Week 3
    
    Clustering
  - Week 4
    Week 4
    
    Estimation
  - Week 5
    Week 5
    
    Supervised Learning
  - Week 6
    Week 6
    
    Regression
  - Week 7
    Week 7
    
    Classification
  - Week 8
    Week 8
    
    Types of Models
  - Week 9
    Week 9
    
    Perceptron Learning Algorithm
  - Week 10
    Week 10
    
    Support Vector Machine
  - Week 11
    Week 11
    
    Support Vector Machine
- Business Data Management
  Business Data Management
  - Week 1
  - Week 2
    Week 2
    
    Consumer Behaviour
    
    Markets and Competiton
    
    Elasticity and Demand
    
    Production Cost
    
    Cost Curves
    
    Make vs. Buy
    
    Production Decisions
  - Week 3
    Week 3
    
    Pricing Strategies
    
    Analysis of Firm Performance
  - Week 4
    Week 4
    
    Industry Definition
- System Commands
  System Commands
  - Week 2
    Week 2
    
    Shell Variables

Assignment Question Solutions

Warning

Please try to solve the questions on your own first.
Thinking that "I have seen the solutions , I understand everything" is WRONG. You actually don't understand anything unless you solve questions.
For detailed explanations look for posts on discourse or scroll through live lectures.

AQ 3.1

AQ 3.2

AQ 3.4

AQ 3.5

AQ 3.6

AQ 3.7