INFO 1998: Introduction to Machine Learning for Python

Gates G01 · 5 - 6 PM Wednesdays

First Lecture on February 14th


Instructor

Jared Junyoung Lim (jl3248)

Abby Beeler (arb379)

Teaching Associates

Ann Zhang (az275)

Ethan Cohen (ebc63)

Ryan Kannanaikal (rk635)

Shubhom Bhattacharya (sb2287)

Office Hour Schedule

Ann Zhang Ryan Kannanaikal Ethan Cohen
Day Tuesday Friday Sunday
Time 3 PM - 4 PM 3 PM - 4 PM 11 AM - 12 PM
Location Rhodes 402 Gates G19 Rhodes 408

Spring 2018 Schedule

Date Lecture Slides Recordings Lecture Notes Assignment
02/07/17 - - LECTURE 0: SETUP -
02/14/17 Lecture 1: Introduction and Data Manipulation Coming Soon LECTURE 1: NUMPY
LECTURE 1: PANDAS
Take Home Quiz
02/21/17 Lecture 2: Manipulation Techniques and Visualization Coming Soon LECTURE 2: DEMO
LECTURE 2: VISUAL
LECTURE 2: DATASET
Project A

Coming Soon!


R for Data Science Archive

Date Lecture Slides Recordings Lecture Notes Assignment
02/15/17 Lecture 1: Introduction to R Lecture 1: Introduction to R Lecture 1: Introduction to R Assignment 1
02/22/17 Lecture 2: Data Manipulation Lecture 2: Data Manipulation Lecture 2: Data Manipulation Assignment 2
03/01/17 Lecture 3: Data Visualization Lecture 3: Data Visualization Lecture 3: Data Visualization Assignment 3
03/08/17 Lecture 4: Linear Regression Lecture 4: Linear Regression Lecture 4: Linear Regression Project 1
03/22/17 Lecture 5: Logistic Regression Lecture 5: Logistic Regression Lecture 5: Logistic Regression Project 1
03/29/17 Lecture 6: Classification Lecture 6: Classification Lecture 6: Classification Project 1
04/12/17 Lecture 7: Unsupervised Learning Lecture 7: Unsupervised Learning Lecture 7: Unsupervised Learning Project 1
04/19/17 Lecture 8: Model Selection and Optimization Lecture 8: Model Selection and Optimization Lecture 8: Model Selection and Optimization Assignment 4
04/26/17 Lecture 9: Meta-Learning Lecture 9: Meta-Learning Lecture 9: Meta-Learning Project 2
05/03/17 Lecture 10: Text Analysis Lecture 10: Text Analysis Lecture 10: Text Analysis Project 2
05/10/17 Lecture 11: Big Data Tools Lecture 11: Big Data Tools No notes! Project 2