Section 1 : Module 1 Introduction to Machine Learning
Lecture 1 Introduction to Machine Learning 00:53:11 Duration
Lecture 2 Lesson 1 Lab 1 00:08:23 Duration
Lecture 3 Lesson 2-1 Lab-2a 00:01:53 Duration
Lecture 4 Lesson 2-1 Pandas 00:35:26 Duration
Lecture 5 Lesson 2-1 Exploring Pandas
Lecture 6 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM
Lecture 7 Lesson 2-2 Lab 2c 00:01:49 Duration
Lecture 8 Lesson 2-3 Visualization 00:18:42 Duration
Lecture 9 Lesson 2-4 Lab-2d 00:01:30 Duration
Lecture 10 Lesson 2-4 Visualization-Stats 00:13:25 Duration
Lecture 11 Lesson 2-4 Lab 3a 00:03:30 Duration
Lecture 12 Lesson 3-1 Sklearn 00:29:56 Duration
Lecture 13 Lesson 3-2 Lab-3b 00:01:38 Duration
Lecture 14 Lesson 3-2 Linear Regression 00:12:50 Duration
Lecture 15 Lesson 3-3 Multivariate Linear Regression 00:07:16 Duration
Lecture 16 Lesson 3-4 Logistic Regression (updated audio) 00:22:22 Duration

Section 2 : Module 2 Exploring and Using Data Sets
Lecture 1 Lesson 1a Classification (Support Vector Machines) 00:21:20 Duration
Lecture 2 Lesson 1b Classification (Naive Bayes)
Lecture 3 Lesson 2-1 Lab1a and 1b 00:02:38 Duration
Lecture 4 Lesson 1a Classification (Support Vector Machines) 00:02:38 Duration
Lecture 5 dsml-seg-20-Decision_Trees 00:27:02 Duration
Lecture 6 dsml-seg-21-RandomForests 00:13:21 Duration
Lecture 7 dsml-seg-22-Lab2a_2b 00:02:59 Duration
Lecture 8 dsml-seg-23-Lab2c 00:02:43 Duration
Lecture 9 dsml-seg-24-clustering 00:26:37 Duration
Lecture 10 dsml-seg-25-pca 00:20:59 Duration
Lecture 11 dsml-seg-26-lab_3a_3b 00:03:52 Duration
Lecture 12 dsml-seg-27-lab_3c 00:04:21 Duration

Section 3 : Module 3 Review of Machine Learning Algorithms
Lecture 1 dsml-seg-28-deep-learning-introduction
Lecture 2 dsml-seg-29-Lab_1a 00:03:20 Duration
Lecture 3 dsml-seg-30-tensorflow-introduction 00:09:17 Duration
Lecture 4 dsml-seg-31-lab_1b 00:01:24 Duration
Lecture 5 dsml-seg-32-tensorflow-Low-Level 00:14:14 Duration
Lecture 6 dsml-seg-33-tensorfiow-Linear-Models 00:14:14 Duration
Lecture 7 dsml-seg-33-tensorfiow-Linear-Models
Lecture 8 dsml-seg-34-lab_2a_2b 00:02:23 Duration
Lecture 9 dsml-seg-35-tensorflow-High-Level-API 00:14:53 Duration
Lecture 10 dsml-seg-36-Lab_2c_2d 00:02:16 Duration
Lecture 11 dsml-seg-37-lab_3a 00:01:52 Duration
Lecture 12 dsml-seg-38-lab_3b_3c 00:02:57 Duration
Lecture 13 dsml-seg-39-lab_3d_3e 00:04:32 Duration
Lecture 14 dsml-seg-40-multilayer-perceptron-mlp

Section 4 : Module 4 Machine Learning with Scikit
Lecture 1 dsml-seg-41-convolutional-neural-network 00:33:31 Duration
Lecture 2 dsml-seg-42-convolutional-neural-network-extended 00:20:46 Duration
Lecture 3 dsml-seg-43-tensorboard 00:10:04 Duration

Section 5 : Module 5 Deep Learning with Keras and TensorFlow
Lecture 1 dsml-seg-44-transfer-learning 00:15:52 Duration
Lecture 2 dsml-seg-45-recurrent-neural-network 00:29:31 Duration
Lecture 3 dsml-seg-46-long-short-term-memory 00:34:51 Duration

Section 6 : Module 7 Building a Machine Learning Pipeline
Lecture 1 dsml-seg-47-scaling-machine-learning-distributed-tensorflow 00:31:34 Duration
Lecture 2 dsml-seg-48-feature-engineering 00:25:19 Duration
Lecture 3 dsml-seg-49-pipeline-examples 00:03:48 Duration