Section 1 : Welcome and Logistics

Lecture 1 Introduction and Outline copy 7:41
Lecture 2 Extra Resources 3:27

Section 2 : Numpy (New)

Lecture 3 Numpy Section Introduction 5:28
Lecture 4 Arrays vs Lists 10:45
Lecture 5 Dot Product
Lecture 6 Speed Test 2:55
Lecture 7 Matrices 14:45
Lecture 8 Solving Linear Systems 3:38
Lecture 9 Generating Data 14:32
Lecture 10 Numpy Exercise 1:5
Lecture 11 Where to Learn More Numpy 6:55
Lecture 12 Suggestion Box 2:27

Section 3 : Matplotlib (New)

Lecture 13 Matplotlib Section Introduction 2:39
Lecture 14 Line Chart 3:50
Lecture 15 Scatterplot
Lecture 16 Histogram 2:26
Lecture 17 Plotting Images 7:40
Lecture 18 Matplotlib Exercise 1:39
Lecture 19 Where to Learn More Matplotlib 13:10

Section 4 : Pandas (New)

Lecture 20 Pandas Section Introduction 1:17
Lecture 21 Loading in Data 3:52
Lecture 22 Selecting Rows and Columns 9:48
Lecture 23 The apply() Function 2:32
Lecture 24 Plotting with Pandas 2:46
Lecture 25 Pandas Exercise 2:10
Lecture 26 Where to Learn More Pandas 4:24

Section 5 : Scipy (New)

Lecture 27 Scipy Section Introduction 1:25
Lecture 28 PDF and CDF 3:6
Lecture 29 Convolution 4:34
Lecture 30 Scipy Exercise 1:3
Lecture 31 Where to Learn More Scipy 7:47

Section 6 : Bonus Exercises

Lecture 32 More Exercises 8:55

Section 7 : Machine Learning Basics

Lecture 33 Machine Learning Section Introduction 7:47
Lecture 34 What is Classification 12:22
Lecture 35 Classification in Code 14:38
Lecture 36 What is Regression 12:13
Lecture 37 Regression in Code 8:29
Lecture 38 What is a Feature Vector 6:49
Lecture 39 Machine Learning is Nothing but Geometry 4:50
Lecture 40 All Data is the Same 5:23
Lecture 41 Comparing Different Machine Learning Models
Lecture 42 Machine Learning and Deep Learning Future Topics 5:55
Lecture 43 Machine Learning Section Summary

Section 8 : Setting Up Your Environment (FAQ by Student Request)

Lecture 44 Windows-Focused Environment Setup 2018 20:20
Lecture 45 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow

Section 9 : Extra Help With Python Coding for Beginners (FAQ by Student Request)

Lecture 46 Python 2 vs Python 3 4:38
Lecture 47 Proof that using Jupyter Notebook is the same as not using it 12:29

Section 10 : Effective Learning Strategies for Machine Learning (FAQ by Student Request)

Lecture 48 Machine Learning and AI Prerequisite Roadmap (pt 1) 11:19
Lecture 49 Machine Learning and AI Prerequisite Roadmap (pt 2) 16:7