Packt Publishing - Deep Dive into Python Machine Learning
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文件列表
| 路径 | 大小 |
|---|---|
| Project_Files/Python Machine Learning Solutions [Video].zip | 57.8 MiB |
| Project_Files/Deep Learning with Python [Video].zip | 590.8 KiB |
| Project_Files/Mastering Python - Second Edition [Video].zip | 35.8 KiB |
| Project_Files/Data Mining with Python- Implementing Classification and Regression.zip | 16.8 KiB |
| 71 - Logistic Regression Model Implementation.mp4 | 47.2 MiB |
| 25 - Using concurrent.futures.mp4 | 46.7 MiB |
| 23 - Executing Other Programs with Subprocess.mp4 | 45.5 MiB |
| 67 - Regression Model Implementation to Predict Television Show Viewers.mp4 | 40.3 MiB |
| 18 - Getting the Most Out of docstrings 1 - PEP 257 and docutils.mp4 | 38.6 MiB |
| 72 - K – Nearest Neighbor Classifier Implementation.mp4 | 38.3 MiB |
| 66 - Basic Regression Model Implementation to Predict House Prices.mp4 | 35.8 MiB |
| 172 - Deep Learning Hello World! Classifying the MNIST Data.mp4 | 34.7 MiB |
| 45 - Using the Reactive Extensions for Python (RxPY).mp4 | 33.6 MiB |
| 175 - Optimizing a Simple Model in Pure Theano.mp4 | 33.6 MiB |
| 181 - Reusing Pre-trained Models in New Applications.mp4 | 31.8 MiB |
| 05 - Extensive Standard Library.mp4 | 31.1 MiB |
| 185 - Recurrent Networks –Training a Sentiment Analysis Model for Text.mp4 | 29.7 MiB |
| 51 - Interfacing with C Code Using Cython.mp4 | 27.3 MiB |
| 73 - Preprocessing Data Using Different Techniques.mp4 | 26.5 MiB |
| 178 - Convolutional and Pooling Layers.mp4 | 25.4 MiB |
| 183 - Recurrent Layers.mp4 | 24.8 MiB |
| 47 - Building a High-Level Microservice with Flask.mp4 | 24.8 MiB |
| 176 - Keras Behind the Scenes.mp4 | 24.4 MiB |
| 15 - PEP 8 and Writing Readable Code.mp4 | 23.8 MiB |
| 180 - Loading Pre-trained Models with Theano.mp4 | 23.5 MiB |
| 88 - Evaluating Cars based on Their Characteristics.mp4 | 23.2 MiB |
| 02 - Python Basic Syntax and Block Structure.mp4 | 22.5 MiB |
| 26 - Using Multiprocessing.mp4 | 21.9 MiB |
| 177 - Fully Connected or Dense Layers.mp4 | 21.9 MiB |
| 10 - Finding Packages in the Python Package Index.mp4 | 21.8 MiB |
| 187 - Captioning TensorFlow – Google's Machine Learning Library.mp4 | 21.6 MiB |
| 171 - Open Source Libraries for Deep Learning.mp4 | 21.3 MiB |
| 186 - Bonus Challenge – Automatic Image Captioning.mp4 | 21.2 MiB |
| 06 - New in Python 3.5.mp4 | 21.0 MiB |
| 153 - Building a Face Recognizer Using a Local Binary Patterns Histogram.mp4 | 20.5 MiB |
| 179 - Large Scale Datasets, ImageNet, and Very Deep Neural Networks.mp4 | 20.3 MiB |
| 92 - Building a Linear Classifier Using Support Vector Machine.mp4 | 20.2 MiB |
| 83 - Building a Logistic Regression Classifier.mp4 | 20.2 MiB |
| 144 - Creating Features Using Visual Codebook and Vector Quantization.mp4 | 20.0 MiB |
| 110 - Constructing a k-nearest Neighbors Classifier.mp4 | 19.8 MiB |
| 124 - Identifying Patterns in Text Using Topic Modelling.mp4 | 19.8 MiB |
| 75 - Building a Linear Regressor.mp4 | 19.7 MiB |
| 37 - Descriptors.mp4 | 19.6 MiB |
| 182 - Theano for Loops – the scan Module.mp4 | 19.5 MiB |
| 174 - Understanding Deep Learning with Theano.mp4 | 19.3 MiB |
| 137 - Building Conditional Random Fields for Sequential Text Data.mp4 | 19.1 MiB |
| 81 - Estimating bicycle demand distribution.mp4 | 18.0 MiB |
| 121 - Building a Text Classifier.mp4 | 18.0 MiB |
| 169 - The Course Overview.mp4 | 17.8 MiB |
| 03 - Built-in Data Structures and Comprehensions.mp4 | 17.8 MiB |
| 136 - Building Hidden Markov Models for Sequential Data.mp4 | 17.7 MiB |
| 76 - Regression Accuracy and Model Persistence.mp4 | 17.5 MiB |
| 27 - Understanding Why This Isn't Like Parallel Processing.mp4 | 17.4 MiB |
| 39 - Using the unittest Package.mp4 | 17.1 MiB |
| 97 - Building an Event Predictor.mp4 | 17.0 MiB |
| 79 - Estimating housing prices.mp4 | 16.9 MiB |
| 142 - Detecting Corners and SIFT Feature Points.mp4 | 16.9 MiB |
| 16 - Using Version Control.mp4 | 16.7 MiB |
| 100 - Compressing an Image Using Vector Quantization.mp4 | 16.3 MiB |
| 139 - Operating on Images Using OpenCV-Python.mp4 | 16.1 MiB |
| 87 - Visualizing the Confusion Matrix and Extracting the Performance Report.mp4 | 15.8 MiB |
| 07 - Downloading and Installing Python.mp4 | 15.3 MiB |
| 108 - Building Machine Learning Pipelines.mp4 | 15.2 MiB |
| 91 - Extracting the Income Bracket.mp4 | 15.0 MiB |
| 59 - Installing the pandas Library.mp4 | 15.0 MiB |
| 104 - Automatically Estimating the Number of Clusters Using DBSCAN.mp4 | 14.9 MiB |
| 01 - The Course Overview.mp4 | 14.9 MiB |
| 50 - Accessing a Dynamic Library Using ctypes.mp4 | 14.9 MiB |
| 44 - Building a Simple Reactive Programming Framework.mp4 | 14.6 MiB |
| 123 - Analyzing the Sentiment of a Sentence.mp4 | 14.4 MiB |
| 54 - Data Mining Basic Concepts and Applications.mp4 | 14.2 MiB |
| 89 - Extracting Validation Curves.mp4 | 14.1 MiB |
| 64 - Linear Regression Basic Model Approach.mp4 | 14.0 MiB |
| 107 - Building Function Composition for Data Processing.mp4 | 13.7 MiB |
| 140 - Detecting Edges.mp4 | 13.6 MiB |
| 33 - Function Annotations.mp4 | 13.6 MiB |
| 102 - Grouping Data Using Agglomerative Clustering.mp4 | 13.5 MiB |
| 99 - Clustering Data Using the k-means Algorithm.mp4 | 13.4 MiB |
| 28 - Using the asyncio Event Loop and Coroutine Scheduler.mp4 | 13.3 MiB |
| 30 - Synchronizing Multiple Tasks.mp4 | 13.3 MiB |
| 94 - Tackling Class Imbalance.mp4 | 13.3 MiB |
| 132 - Transforming Data into the Time Series Format.mp4 | 13.2 MiB |
| 32 - Using Function Decorators.mp4 | 13.0 MiB |
| 131 - Building a Speech Recognizer.mp4 | 12.9 MiB |
| 48 - Building a Low-Level Microservice with nameko.mp4 | 12.8 MiB |
| 103 - Evaluating the Performance of Clustering Algorithms.mp4 | 12.7 MiB |
| 116 - Preprocessing Data Using Tokenization.mp4 | 12.7 MiB |
| 04 - First-Class Functions and Classes.mp4 | 12.3 MiB |
| 77 - Building a Ridge Regressor.mp4 | 12.3 MiB |
| 21 - Handling Command-Line Arguments with argparse.mp4 | 12.2 MiB |
| 82 - Building a Simple Classifier.mp4 | 12.2 MiB |
| 95 - Extracting Confidence Measurements.mp4 | 12.0 MiB |
| 60 - Installing Matplotlib.mp4 | 12.0 MiB |
| 138 - Analyzing Stock Market Data with Hidden Markov Models.mp4 | 11.8 MiB |
| 120 - Building a Bag-of-Words Model.mp4 | 11.7 MiB |
| 11 - Creating an Empty Package.mp4 | 11.6 MiB |
| 141 - Histogram Equalization.mp4 | 11.5 MiB |
| 34 - Class Decorators.mp4 | 11.4 MiB |
| 78 - Building a Polynomial Regressor.mp4 | 11.4 MiB |
| 145 - Training an Image Classifier Using Extremely Random Forests.mp4 | 11.4 MiB |
| 36 - Context Managers.mp4 | 11.3 MiB |
| 105 - Finding Patterns in Stock Market Data.mp4 | 11.3 MiB |
| 31 - Communicating Across the Network.mp4 | 11.3 MiB |
| 101 - Building a Mean Shift Clustering.mp4 | 11.3 MiB |
| 09 - Installing Packages with pip.mp4 | 11.0 MiB |
| 148 - Building a Face Detector using Haar Cascades.mp4 | 11.0 MiB |
| 42 - Using Nose for Unified Test Discover and Reporting.mp4 | 11.0 MiB |
| 98 - Estimating Traffic.mp4 | 10.8 MiB |
| 135 - Extracting Statistics from Time Series.mp4 | 10.8 MiB |
| 40 - Using unittest.mock.mp4 | 10.5 MiB |
| 74 - Label Encoding.mp4 | 10.5 MiB |
| 49 - Advantages and Disadvantages of Compiled Code.mp4 | 10.4 MiB |
| 96 - Finding Optimal Hyper-Parameters.mp4 | 10.4 MiB |
| 160 - Building an Optical Character Recognizer Using Neural Networks.mp4 | 10.4 MiB |
| 115 - Generating Movie Recommendations.mp4 | 10.2 MiB |
| 158 - Building a Recurrent Neural Network for Sequential Data Analysis.mp4 | 10.2 MiB |
| 152 - Performing Blind Source Separation.mp4 | 10.0 MiB |
| 122 - Identifying the Gender.mp4 | 10.0 MiB |
| 35 - Metaclasses.mp4 | 9.8 MiB |
| 128 - Synthesizing Music.mp4 | 9.8 MiB |
| 106 - Building a Customer Segmentation Model.mp4 | 9.8 MiB |
| 111 - Constructing a k-nearest Neighbors Regressor.mp4 | 9.7 MiB |
| 41 - Using unittest's Test Discovery.mp4 | 9.7 MiB |
| 52 - The Course Overview.mp4 | 9.7 MiB |
| 130 - Building Hidden Markov Models.mp4 | 9.6 MiB |
| 56 - Basics of Python.mp4 | 9.6 MiB |
| 163 - Animating Bubble Plots.mp4 | 9.4 MiB |
| 70 - Support Vector Machine.mp4 | 9.4 MiB |
| 125 - Reading and Plotting Audio Data.mp4 | 9.4 MiB |
| 126 - Transforming Audio Signals into the Frequency Domain.mp4 | 9.3 MiB |
| 173 - Introduction to Backpropagation.mp4 | 9.3 MiB |
| 13 - Importing One of the Package's Modules from Another.mp4 | 9.3 MiB |
| 112 - Computing the Euclidean Distance Score.mp4 | 9.2 MiB |
| 154 - Building a Perceptron.mp4 | 9.2 MiB |
| 62 - Data Cleaning.mp4 | 9.2 MiB |
| 20 - Making a Package Executable via python -m.mp4 | 9.2 MiB |
| 156 - Building a deep neural network.mp4 | 9.1 MiB |
| 65 - Evaluating Regression Models.mp4 | 9.1 MiB |
| 69 - K – Nearest Neighbors Classifier.mp4 | 8.9 MiB |
| 58 - Installing the Numpy Library.mp4 | 8.8 MiB |
| 117 - Stemming Text Data.mp4 | 8.8 MiB |
| 84 - Building a Naive Bayes’ Classifier.mp4 | 8.7 MiB |
| 22 - Interacting with the User.mp4 | 8.6 MiB |
| 53 - Brief Introduction to Data Mining.mp4 | 8.6 MiB |
| 38 - Understanding the Principles of Unit Testing.mp4 | 8.5 MiB |
| 151 - Performing Kernel Principal Component Analysis.mp4 | 8.4 MiB |
| 63 - Data Preprocessing Techniques.mp4 | 8.4 MiB |
| 157 - Creating a Vector Quantizer.mp4 | 8.4 MiB |
| 113 - Computing the Pearson Correlation Score.mp4 | 8.3 MiB |
| 118 - Converting Text to Its Base Form Using Lemmatization.mp4 | 8.2 MiB |
| 149 - Building Eye and Nose Detectors.mp4 | 8.2 MiB |
| 86 - Evaluating the Accuracy Using Cross-Validation.mp4 | 8.2 MiB |
| 46 - Microservices and the Advantages of Process Isolation.mp4 | 8.2 MiB |
| 17 - Using venv to Create a Stable and Isolated Work Area.mp4 | 8.1 MiB |
| 129 - Extracting Frequency Domain Features.mp4 | 8.1 MiB |
| 109 - Finding the Nearest Neighbors.mp4 | 8.1 MiB |
| 161 - Plotting 3D Scatter plots.mp4 | 8.0 MiB |
| 93 - Building Nonlinear Classifier Using SVMs.mp4 | 8.0 MiB |
| 12 - Adding Modules to the Package.mp4 | 8.0 MiB |
| 150 - Performing Principal Component Analysis.mp4 | 8.0 MiB |
| 146 - Building an object recognizer.mp4 | 7.7 MiB |
| 127 - Generating Audio Signals with Custom Parameters.mp4 | 7.6 MiB |
| 80 - Computing relative importance of features.mp4 | 7.6 MiB |
| 19 - Getting the Most Out of docstrings 2 - doctest.mp4 | 7.4 MiB |
| 119 - Dividing Text Using Chunking.mp4 | 7.4 MiB |
| 170 - What Is Deep Learning.mp4 | 7.4 MiB |
| 143 - Building a Star Feature Detector.mp4 | 7.3 MiB |
| 90 - Extracting Learning Curves.mp4 | 7.3 MiB |
| 08 - Using the Command-Line and the Interactive Shell.mp4 | 7.1 MiB |
| 147 - Capturing and Processing Video from a Webcam.mp4 | 7.0 MiB |
| 68 - Logistic Regression.mp4 | 6.9 MiB |
| 114 - Finding Similar Users in a Dataset.mp4 | 6.9 MiB |
| 134 - Operating on Time Series Data.mp4 | 6.8 MiB |
| 168 - Animating Dynamic Signals.mp4 | 6.8 MiB |
| 29 - Waiting for Data to Become Available.mp4 | 6.7 MiB |
| 184 - Recurrent Versus Convolutional Layers.mp4 | 6.6 MiB |
| 85 - Splitting the Dataset for Training and Testing.mp4 | 6.1 MiB |
| 165 - Plotting Date-Formatted Time Series Data.mp4 | 6.0 MiB |
| 155 - Building a Single-Layer Neural Network.mp4 | 5.9 MiB |
| 164 - Drawing Pie Charts.mp4 | 5.6 MiB |
| 133 - Slicing Time Series Data.mp4 | 5.3 MiB |
| 55 - Why Python.mp4 | 5.2 MiB |
| 159 - Visualizing the Characters in an Optical Character Recognition Database.mp4 | 5.2 MiB |
| 43 - What Does Reactive Programming Mean.mp4 | 4.8 MiB |
| 24 - Using Shell Scripts or Batch Files to Run Our Programs.mp4 | 4.6 MiB |
| 14 - Adding Static Data Files to the Package.mp4 | 4.5 MiB |
| 167 - Visualizing Heat Maps.mp4 | 4.0 MiB |
| 57 - Installing IPython.mp4 | 3.9 MiB |
| 61 - Installing scikit-learn.mp4 | 3.8 MiB |
| 166 - Plotting Histograms.mp4 | 3.7 MiB |
| 162 - Plotting Bubble Plots.mp4 | 3.7 MiB |
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