[FreeCoursesOnline.Me] [Packt] Machine Learning Projects with Java [FCO]
File List
- 5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING/4. Finding Words Based on the Similarity.MP4 79.0 MB
- 5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING/3. Leveraging NLP Construct from DL4J.MP4 69.1 MB
- 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/2. Performing Feature Engineering.MP4 40.9 MB
- 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/5. Performing Validation of a Model.MP4 29.9 MB
- 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/5. Applying Scalar Transformations to Features Vectors.MP4 26.9 MB
- 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/1. Project Set Up Using Weka Library.MP4 26.2 MB
- 5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING/1. Extracting Feature Vector from Text Data.MP4 25.1 MB
- 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/1. The Course Overview.MP4 24.4 MB
- 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/4. Leveraging Regression Model for Predicting Price of House.MP4 22.7 MB
- 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/4. Extracting INDArray Features.MP4 22.6 MB
- 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/4. Training of Deep Learning Model.MP4 22.0 MB
- 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/5. Making Predictions Based on the Classification.MP4 22.0 MB
- 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/3. Creating Neural Network with Multiple Layers.MP4 21.9 MB
- 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/2. Creating a .java File for Automatic Feature Extraction.MP4 21.4 MB
- 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/2. Performing Normalization of Data.MP4 20.0 MB
- 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/1. Extracting Feature Vector for Housing Data.MP4 19.7 MB
- 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/3. Building Classifier in Weka Library.MP4 19.5 MB
- 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/3. Leveraging ND4J Library Input Vectors and Matrices.MP4 18.7 MB
- 5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING/2. Loading Raw Data That will be an Input for NLP Training.MP4 17.8 MB
- 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/3. Building Regression Model.MP4 17.1 MB
- 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/1. Feeding DL4J Model with Gender Labeled Data.MP4 16.9 MB
- 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/5. Saving Model for Further Re-Usage.MP4 16.5 MB
- 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/2. Data Mining of Input Data Set.MP4 15.6 MB
- 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/4. Performing Cross-Validation of the Model.MP4 13.9 MB
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