1 Practical Machine Learning Tutorial with Python Intro p.1
2 Regression Intro - Practical Machine Learning Tutorial with Python p.2
3 Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3
4 Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4
5 Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5
6 Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6
7 Regression How it Works - Practical Machine Learning Tutorial with Python p.7
8 How to program the Best Fit Slope - Practical Machine Learning Tutorial with Python p.8
9 How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9
10 R Squared Theory - Practical Machine Learning Tutorial with Python p.10
11 Programming R Squared - Practical Machine Learning Tutorial with Python p.11
12 Testing Assumptions - Practical Machine Learning Tutorial with Python p.12
13 Classification w/ K Nearest Neighbors Intro - Practical Machine Learning Tutorial with Python p.13
14 K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14
15 Euclidean Distance - Practical Machine Learning Tutorial with Python p.15
16 Creating Our K Nearest Neighbors Algorithm - Practical Machine Learning with Python p.16
17 Writing our own K Nearest Neighbors in Code - Practical Machine Learning Tutorial with Python p.17
18 Applying our K Nearest Neighbors Algorithm - Practical Machine Learning Tutorial with Python p.18
19 Final thoughts on K Nearest Neighbors - Practical Machine Learning Tutorial with Python p.19
20 Support Vector Machine Intro and Application - Practical Machine Learning Tutorial with Python p.20
21 Understanding Vectors - Practical Machine Learning Tutorial with Python p.21
22 Support Vector Assertion - Practical Machine Learning Tutorial with Python p.22
23 Support Vector Machine Fundamentals - Practical Machine Learning Tutorial with Python p.23
24 Support Vector Machine Optimization - Practical Machine Learning Tutorial with Python p.24
25 Creating an SVM from scratch - Practical Machine Learning Tutorial with Python p.25
26 SVM Training - Practical Machine Learning Tutorial with Python p.26
27 SVM Optimization - Practical Machine Learning Tutorial with Python p.27
28 Completing SVM from Scratch - Practical Machine Learning Tutorial with Python p.28
29 Kernels Introduction - Practical Machine Learning Tutorial with Python p.29
30 Why Kernels - Practical Machine Learning Tutorial with Python p.30
31 Soft Margin SVM - Practical Machine Learning Tutorial with Python p.31
32 Soft Margin SVM and Kernels with CVXOPT - Practical Machine Learning Tutorial with Python p.32
33 SVM Parameters - Practical Machine Learning Tutorial with Python p.33
34 Clustering Introduction - Practical Machine Learning Tutorial with Python p.34
35 Handling Non-Numeric Data - Practical Machine Learning Tutorial with Python p.35
36 K Means with Titanic Dataset - Practical Machine Learning Tutorial with Python p.36
37 Custom K Means - Practical Machine Learning Tutorial with Python p.37
38 K Means from Scratch - Practical Machine Learning Tutorial with Python p.38
39 Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39
40 Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40
41 Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41
42 Mean Shift Dynamic Bandwidth - Practical Machine Learning Tutorial with Python p.42
43 Deep Learning with Neural Networks and TensorFlow Introduction
44 Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1
45 TensorFlow Basics - Deep Learning with Neural Networks p. 2
46 Neural Network Model - Deep Learning with Neural Networks and TensorFlow
47 Running our Network - Deep Learning with Neural Networks and TensorFlow
48 Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5
49 Preprocessing cont'd - Deep Learning with Neural Networks and TensorFlow part 6
50 Training/Testing on our Data - Deep Learning with Neural Networks and TensorFlow part 7
51 Using More Data - Deep Learning with Neural Networks and TensorFlow part 8
52 Installing the GPU version of TensorFlow for making use of your CUDA GPU
53 Installing CPU and GPU TensorFlow on Windows
54 Recurrent Neural Networks (RNN) - Deep Learning with Neural Networks and TensorFlow 10
55 RNN Example in Tensorflow - Deep Learning with Neural Networks 11
56 Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12
57 Convolutional Neural Networks with TensorFlow - Deep Learning with Neural Networks 13
58 TFLearn - Deep Learning with Neural Networks and TensorFlow p. 14
59 Intro - Training a neural network to play a game with TensorFlow and Open AI
60 Training Data - Training a neural network to play a game with TensorFlow and Open AI p.2
61 Training Model - Training a neural network to play a game with TensorFlow and Open AI p.3
62 Testing Network - Training a neural network to play a game with TensorFlow and Open AI p.4
63 Intro and preprocessing - Using Convolutional Neural Network to Identify Dogs vs Cats p. 1
64 Building the Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 2
65 Training - Using Convolutional Neural Network to Identify Dogs vs Cats p. 3
66 Using our Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 4
67 Introduction - 3D Convolutional Neural Network w/ Kaggle Lung Cancer Detection Competiton p.1
68 Reading Files - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.2
69 Visualizing - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.3
70 Resizing Data - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.4
71 Preprocessing data - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.5
72 Running the Network - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.6