Machine Learning with Python
5.0
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9 learners
What you'll learn
This course includes
- 18.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 72 lessons • 18.5 hours of video
Machine Learning with Python
72 lessons
• 18.5 hours
Machine Learning with Python
72 lessons
• 18.5 hours
- Practical Machine Learning Tutorial with Python Intro p.1 05:55
- Regression Intro - Practical Machine Learning Tutorial with Python p.2 10:58
- Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3 10:17
- Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4 16:26
- Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5 14:28
- Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6 06:25
- Regression How it Works - Practical Machine Learning Tutorial with Python p.7 07:57
- How to program the Best Fit Slope - Practical Machine Learning Tutorial with Python p.8 11:44
- How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9 07:35
- R Squared Theory - Practical Machine Learning Tutorial with Python p.10 08:36
- Programming R Squared - Practical Machine Learning Tutorial with Python p.11 07:01
- Testing Assumptions - Practical Machine Learning Tutorial with Python p.12 20:33
- Classification w/ K Nearest Neighbors Intro - Practical Machine Learning Tutorial with Python p.13 11:11
- K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14 21:41
- Euclidean Distance - Practical Machine Learning Tutorial with Python p.15 06:53
- Creating Our K Nearest Neighbors Algorithm - Practical Machine Learning with Python p.16 09:15
- Writing our own K Nearest Neighbors in Code - Practical Machine Learning Tutorial with Python p.17 10:17
- Applying our K Nearest Neighbors Algorithm - Practical Machine Learning Tutorial with Python p.18 13:17
- Final thoughts on K Nearest Neighbors - Practical Machine Learning Tutorial with Python p.19 14:37
- Support Vector Machine Intro and Application - Practical Machine Learning Tutorial with Python p.20 08:31
- Understanding Vectors - Practical Machine Learning Tutorial with Python p.21 06:07
- Support Vector Assertion - Practical Machine Learning Tutorial with Python p.22 10:07
- Support Vector Machine Fundamentals - Practical Machine Learning Tutorial with Python p.23 15:35
- Support Vector Machine Optimization - Practical Machine Learning Tutorial with Python p.24 28:20
- Creating an SVM from scratch - Practical Machine Learning Tutorial with Python p.25 10:16
- SVM Training - Practical Machine Learning Tutorial with Python p.26 14:23
- SVM Optimization - Practical Machine Learning Tutorial with Python p.27 17:37
- Completing SVM from Scratch - Practical Machine Learning Tutorial with Python p.28 28:50
- Kernels Introduction - Practical Machine Learning Tutorial with Python p.29 15:22
- Why Kernels - Practical Machine Learning Tutorial with Python p.30 21:19
- Soft Margin SVM - Practical Machine Learning Tutorial with Python p.31 18:21
- Soft Margin SVM and Kernels with CVXOPT - Practical Machine Learning Tutorial with Python p.32 11:11
- SVM Parameters - Practical Machine Learning Tutorial with Python p.33 17:28
- Clustering Introduction - Practical Machine Learning Tutorial with Python p.34 20:15
- Handling Non-Numeric Data - Practical Machine Learning Tutorial with Python p.35 16:50
- K Means with Titanic Dataset - Practical Machine Learning Tutorial with Python p.36 17:09
- Custom K Means - Practical Machine Learning Tutorial with Python p.37 14:09
- K Means from Scratch - Practical Machine Learning Tutorial with Python p.38 14:59
- Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39 11:42
- Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40 22:48
- Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41 17:27
- Mean Shift Dynamic Bandwidth - Practical Machine Learning Tutorial with Python p.42 29:22
- Deep Learning with Neural Networks and TensorFlow Introduction 22:33
- Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1 27:46
- TensorFlow Basics - Deep Learning with Neural Networks p. 2 15:50
- Neural Network Model - Deep Learning with Neural Networks and TensorFlow 32:51
- Running our Network - Deep Learning with Neural Networks and TensorFlow 25:15
- Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5 13:02
- Preprocessing cont'd - Deep Learning with Neural Networks and TensorFlow part 6 22:49
- Training/Testing on our Data - Deep Learning with Neural Networks and TensorFlow part 7 12:22
- Using More Data - Deep Learning with Neural Networks and TensorFlow part 8 25:13
- Installing the GPU version of TensorFlow for making use of your CUDA GPU 15:54
- Installing CPU and GPU TensorFlow on Windows 18:16
- Recurrent Neural Networks (RNN) - Deep Learning with Neural Networks and TensorFlow 10 12:38
- RNN Example in Tensorflow - Deep Learning with Neural Networks 11 14:20
- Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12 09:11
- Convolutional Neural Networks with TensorFlow - Deep Learning with Neural Networks 13 25:07
- TFLearn - Deep Learning with Neural Networks and TensorFlow p. 14 27:42
- Intro - Training a neural network to play a game with TensorFlow and Open AI 12:32
- Training Data - Training a neural network to play a game with TensorFlow and Open AI p.2 12:07
- Training Model - Training a neural network to play a game with TensorFlow and Open AI p.3 14:38
- Testing Network - Training a neural network to play a game with TensorFlow and Open AI p.4 16:16
- Intro and preprocessing - Using Convolutional Neural Network to Identify Dogs vs Cats p. 1 12:51
- Building the Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 2 09:05
- Training - Using Convolutional Neural Network to Identify Dogs vs Cats p. 3 19:02
- Using our Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 4 10:51
- Introduction - 3D Convolutional Neural Network w/ Kaggle Lung Cancer Detection Competiton p.1 11:35
- Reading Files - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.2 20:55
- Visualizing - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.3 09:42
- Resizing Data - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.4 13:35
- Preprocessing data - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.5 10:55
- Running the Network - 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.6 29:22
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