Mathematical Foundations for Data Science Index

This is the page for all Mathematical Foundations for Data Science Content.
Note: Since the live lectures for this subject was interactive and less theoretical, the notes takes as a result is quite minimal

Assignments

• Assignment 1 MFDSAssignment1
• Assignment 2 MFDSAssignment2

Question Papers

• Mid Sem Paper MFDS
• End Sem Paper MFDS

Course Content

Part 1 (Matrices / Vectors / Linear Programming)

• Octave Cheat Sheet: OctaveCheatSheet
• Week 1
  • Lecture Notes: Week1MFDS
• Week 2
  • Lecture Notes: Week2MFDS
  • Gaussian Elimination Code and Analysis in Python: GaussianEliminationPython
• Week 3
  • Lecture Notes: Week3MFDS
• Week 4
  • Lecture Notes: Week4MFDS
• Week 5
  • Lecture Notes: Week5MFDS
• Week 6
  • Lecture Notes: Week6MFDS
  • Lecture Notes: Week6MFDS2
• Week 7
  • Lecture Notes: Week7MFDS
• Week 8
  • Lecture Notes: Week8MFDS
  • Lecture Notes: Week8MFDS2

Part 2 (Calculus / Induction / Counting)

Part 2 of this subject was problem heavy, so notes are captured in the following pdf. Problems are not completely solved since this is only the notes captured during the live lecture itself.

• Note Summary: EmbeddedNotesMFDS

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Tags: !Semester1Index