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【压缩文件】 solutions to engineering textbooks

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【压缩文件】 Pluralsight Path. Feature Engineering (2019)

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C2. Building Features from Image Data (Janani Ravi, 2019)/exercise.7z 214.0 MB
C1. Building Features from Text Data (Janani Ravi, 2019)/exercise.7z 42.8 MB
B2. Reducing Complexity in Data (Janani Ravi, 2019)/exercise.7z 28.0 MB
A1. Preparing Data for Feature Engineering and Machine Learning (Janani Ravi, 2019)/exercise.7z 22.2 MB
A1. Preparing Data for Feature Engineering and Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Extraction/10. Working with Geospatial Features.mp4 18.8 MB
C2. Building Features from Image Data (Janani Ravi, 2019)/4. Simplifying Image Processing Using Dimensionality Reduction/5. Feature Detection Using Convolution Kernels.mp4 18.1 MB
C1. Building Features from Text Data (Janani Ravi, 2019)/6. Applying Text Feature Extraction Techniques to Machine Learning/03. Classification Using the Hashing Vectorizer.mp4 17.4 MB
C2. Building Features from Image Data (Janani Ravi, 2019)/3. Detecting Features and Text in Images/06. Feature Detection and Extraction Using SIFT.mp4 17.3 MB
A1. Preparing Data for Feature Engineering and Machine Learning (Janani Ravi, 2019)/3. Preparing Data for Machine Learning/7. Reading and Exploring the Dataset.mp4 17.1 MB
C1. Building Features from Text Data (Janani Ravi, 2019)/5. Reducing Dimensions in Text Using Hashing/6. Similar Documents Using Jaccard Index and Locality-sensitive Hashing.mp4 16.8 MB
C2. Building Features from Image Data (Janani Ravi, 2019)/3. Detecting Features and Text in Images/04. Applying Keypoint Preserving Transformations.mp4 16.7 MB
B1. Building Features from Nominal Data (Janani Ravi, 2019)/4. Understanding and Implementing Contrast Coding/07. Regression Using Helmert Encoding.mp4 16.1 MB
C1. Building Features from Text Data (Janani Ravi, 2019)/3. Building Feature Vector Representations of Text/5. Bag-of-n-grams Using the Count Vectorizer.mp4 15.8 MB
A1. Preparing Data for Feature Engineering and Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Extraction/08. Extracting Text from Images Using OCR.mp4 15.6 MB
C1. Building Features from Text Data (Janani Ravi, 2019)/4. Simplifying Text Processing Using Natural Language Processing/3. Stopword Removal Using NLTK and scikit-learn.mp4 15.4 MB
A1. Preparing Data for Feature Engineering and Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Extraction/07. Detecting Keypoints and Descriptors to Perform Image Matching.mp4 15.2 MB
A1. Preparing Data for Feature Engineering and Machine Learning (Janani Ravi, 2019)/4. Understanding and Implementing Feature Selection/06. Calculating and Visualizing Correlations Using Pandas.mp4 15.1 MB
C2. Building Features from Image Data (Janani Ravi, 2019)/3. Detecting Features and Text in Images/08. Feature Detection Using Histogram of Oriented Gradients.mp4 15.0 MB
C1. Building Features from Text Data (Janani Ravi, 2019)/3. Building Feature Vector Representations of Text/3. Bag-of-words Using the Count Vectorizer.mp4 14.8 MB
C1. Building Features from Text Data (Janani Ravi, 2019)/2. Representing Text as Features for Machine Learning/10. Sentence and Word Tokenization.mp4 14.6 MB