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[TutsNode.com] - Machine Learning for Kids and Beginners/1. Introduction/7. Project 1.1 - Cat vs Dog (Apply ML Model).mp4 177.1 MB
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[TutsNode.com] - Machine Learning for Kids and Beginners/3. Natural Language Processing/6. Project 5 - Recognize sounds.mp4 77.0 MB
[TutsNode.com] - Machine Learning for Kids and Beginners/1. Introduction/6. Project 1.0 - Cat vs Dog (Train ML Model).mp4 66.7 MB
[TutsNode.com] - Machine Learning for Kids and Beginners/2. Facial Recognition/1. Teach Machine To Recognize Your Emotions.mp4 59.7 MB
[TutsNode.com] - Machine Learning for Kids and Beginners/1. Introduction/1. Course Preview Video.mp4 56.1 MB
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[TutsNode.com] - Machine Learning for Kids and Beginners/3. Natural Language Processing/2. Project 3.0 - Anti-Bullying AI (Train ML Model).mp4 49.1 MB
[TutsNode.com] - Machine Learning for Kids and Beginners/4. Recommendation Systems/2. Project 6.0 - Tourist Bot (Train ML Model).mp4 45.3 MB
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【影视】 [FreeCourseSite.com] Udemy - Machine Learning Practical 6 Real-World Applications

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2. Breast Cancer Classification/8. Improving the Model.mp4 199.0 MB
2. Breast Cancer Classification/5. Data Visualisation.mp4 147.3 MB
3. Fashion Class Classification/3. Data Visualisation.mp4 136.5 MB
3. Fashion Class Classification/7. Model Training Part IV.mp4 134.4 MB
3. Fashion Class Classification/6. Model Training Part III.mp4 132.1 MB
3. Fashion Class Classification/4. Model Training Part I.mp4 108.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/2. Data.mp4 106.9 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/12. Grid Search Part 2.mp4 102.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/10. Model Building Part 2.mp4 98.0 MB
3. Fashion Class Classification/1. Business Challenge.mp4 96.7 MB
2. Breast Cancer Classification/7. Model Evaluation.mp4 95.8 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/9. Feature Scaling & Balancing.mp4 83.6 MB
2. Breast Cancer Classification/4. Challenge in Machine Learning Vocabulary.mp4 82.9 MB
3. Fashion Class Classification/5. Model Training Part II.mp4 82.1 MB
5. Minimizing Churn Rate Through Analysis of Financial Habits/2. Data.mp4 81.2 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/1. Introduction.mp4 78.8 MB
6. Predicting the Likelihood of E-Signing a Loan Based on Financial History/11. Grid Search Part 1.mp4 78.0 MB
3. Fashion Class Classification/8. Model Evaluation.mp4 77.2 MB
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【影视】 [DesireCourse.Net] Udemy - Python para Data Science e Machine Learning - COMPLETO

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17. Regressão Logística/6. Regressão logística com Python - Solução.mp4 71.3 MB
7. Python para análise de dados - Exercícios Pandas/2. Soluções - Salários SF.mp4 69.5 MB
13. Projetos de análise de dados/7. Análise de dados do mercado financeiro - Parte 2.mp4 63.5 MB
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13. Projetos de análise de dados/3. Ligações para 911 - Parte 1.mp4 63.1 MB
24. Processamento de linguagem natural/6. NLP com Python - Soluções.mp4 59.7 MB
18. K Nearest Neighbors (KNNs)/4. KNN - Solução Projeto.mp4 54.9 MB
7. Python para análise de dados - Exercícios Pandas/4. Soluções Compras de Ecomerce.mp4 54.0 MB
13. Projetos de análise de dados/4. Ligações para 911 - Parte 2.mp4 51.0 MB
9. Python para visualização de dados - Seaborn/2. Plots de distribuição.mp4 50.3 MB
24. Processamento de linguagem natural/3. NLP com Python - Parte 2.mp4 49.8 MB
20. Support Vector Machines (SVMs)/2. SVM com Python.mp4 48.4 MB
21. K Means Clustering/4. K Means - Solução Projeto.mp4 47.6 MB
12. Python para visualização de dados - Plots geográficos/2. Mapas Choropleth - Parte 1 - USA.mp4 45.6 MB
24. Processamento de linguagem natural/4. NLP com Python - Parte 3.mp4 44.6 MB
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17. Regressão Logística/3. Regressão logística com Python - Parte 2.mp4 44.1 MB
13. Projetos de análise de dados/6. Análise de dados do mercado financeiro - Parte 1.mp4 44.0 MB
9. Python para visualização de dados - Seaborn/5. Plots de regressão.mp4 43.4 MB
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5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING/4. Finding Words Based on the Similarity.MP4 82.9 MB
5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING/3. Leveraging NLP Construct from DL4J.MP4 72.4 MB
1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/2. Performing Feature Engineering.MP4 42.8 MB
4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/5. Performing Validation of a Model.MP4 31.3 MB
1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/5. Applying Scalar Transformations to Features Vectors.MP4 28.2 MB
2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/1. Project Set Up Using Weka Library.MP4 27.5 MB
5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING/1. Extracting Feature Vector from Text Data.MP4 26.3 MB
1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/1. The Course Overview.MP4 25.6 MB
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1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/4. Extracting INDArray Features.MP4 23.7 MB
4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/4. Training of Deep Learning Model.MP4 23.1 MB
2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/5. Making Predictions Based on the Classification.MP4 23.1 MB
4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/3. Creating Neural Network with Multiple Layers.MP4 23.0 MB
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1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/3. Leveraging ND4J Library Input Vectors and Matrices.MP4 19.7 MB
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