Packt Publishing - Deep Dive into Python Machine Learning

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b5e7a5ac4c9f8501d097d7c4a830676ce5fa0e15
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Total size
2.6 GiB
Files
191
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PathSize
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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