Section 1 : Welcome and Logistics
Lecture 1 Introduction and Outline copy 00:07:41 Duration
Lecture 2 Extra Resources 00:03:27 Duration

Section 2 : Numpy (New)
Lecture 1 Numpy Section Introduction 00:05:28 Duration
Lecture 2 Arrays vs Lists 00:10:45 Duration
Lecture 3 Dot Product
Lecture 4 Speed Test 00:02:55 Duration
Lecture 5 Matrices 00:14:45 Duration
Lecture 6 Solving Linear Systems 00:03:38 Duration
Lecture 7 Generating Data 00:14:32 Duration
Lecture 8 Numpy Exercise 00:01:05 Duration
Lecture 9 Where to Learn More Numpy 00:06:55 Duration
Lecture 10 Suggestion Box 00:02:27 Duration

Section 3 : Matplotlib (New)
Lecture 1 Matplotlib Section Introduction 00:02:39 Duration
Lecture 2 Line Chart 00:03:50 Duration
Lecture 3 Scatterplot
Lecture 4 Histogram 00:02:26 Duration
Lecture 5 Plotting Images 00:07:40 Duration
Lecture 6 Matplotlib Exercise 00:01:39 Duration
Lecture 7 Where to Learn More Matplotlib 00:13:10 Duration

Section 4 : Pandas (New)
Lecture 1 Pandas Section Introduction 00:01:17 Duration
Lecture 2 Loading in Data 00:03:52 Duration
Lecture 3 Selecting Rows and Columns 00:09:48 Duration
Lecture 4 The apply() Function 00:02:32 Duration
Lecture 5 Plotting with Pandas 00:02:46 Duration
Lecture 6 Pandas Exercise 00:02:10 Duration
Lecture 7 Where to Learn More Pandas 00:04:24 Duration

Section 5 : Scipy (New)
Lecture 1 Scipy Section Introduction 00:01:25 Duration
Lecture 2 PDF and CDF 00:03:06 Duration
Lecture 3 Convolution 00:04:34 Duration
Lecture 4 Scipy Exercise 00:01:03 Duration
Lecture 5 Where to Learn More Scipy 00:07:47 Duration

Section 6 : Bonus Exercises
Lecture 1 More Exercises 00:08:55 Duration

Section 7 : Machine Learning Basics
Lecture 1 Machine Learning Section Introduction 00:07:47 Duration
Lecture 2 What is Classification 00:12:22 Duration
Lecture 3 Classification in Code 00:14:38 Duration
Lecture 4 What is Regression 00:12:13 Duration
Lecture 5 Regression in Code 00:08:29 Duration
Lecture 6 What is a Feature Vector 00:06:49 Duration
Lecture 7 Machine Learning is Nothing but Geometry 00:04:50 Duration
Lecture 8 All Data is the Same 00:05:23 Duration
Lecture 9 Comparing Different Machine Learning Models
Lecture 10 Machine Learning and Deep Learning Future Topics 00:05:55 Duration
Lecture 11 Machine Learning Section Summary

Section 8 : Setting Up Your Environment (FAQ by Student Request)
Lecture 1 Windows-Focused Environment Setup 2018 00:20:20 Duration
Lecture 2 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 1 Python 2 vs Python 3 00:04:38 Duration
Lecture 2 Proof that using Jupyter Notebook is the same as not using it 00:12:29 Duration

Section 10 : Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Lecture 1 Machine Learning and AI Prerequisite Roadmap (pt 1) 00:11:19 Duration
Lecture 2 Machine Learning and AI Prerequisite Roadmap (pt 2) 00:16:07 Duration