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【压缩文件】 [ DevCourseWeb.com ] Udemy - Machine learning and Lexicon approach to Sentiment analysis.zip

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[ DevCourseWeb.com ] Udemy - Machine learning and Lexicon approach to Sentiment analysis.zip 1.6 GB

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【压缩文件】 [FreeCourseSite.com] Udemy - Machine Learning Practical Workout 8 Real-World Projects

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01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/006 DL-and-ML-Practical-Tutorials-Package.zip 616.8 MB
05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/042 Data Vizualization.mp4 217.5 MB
07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/056 Model Training.mp4 190.8 MB
10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/087 Collaborative Filter One Movie.mp4 177.5 MB
03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/021 Data Visualization Cleaning.mp4 175.1 MB
10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/086 Visualize Dataset.mp4 164.7 MB
07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/057 Model Evaluation.mp4 156.5 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/031 Data Vizualization.mp4 135.3 MB
01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/004 ML vs. DL vs. AI.mp4 133.2 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/071 Visualize Dataset Part 1.mp4 130.7 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/027 Theory Part 2.mp4 130.1 MB
08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/060 Naive Bayes Theory Part 2.mp4 126.7 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/076 Apply NLP to Data.mp4 118.0 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/081 Model Evaluation Part 2.mp4 117.5 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/037 Image Augmentation Part 1.mp4 114.8 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/038 Image augmentation Part 2.mp4 113.1 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/070 Load Dataset.mp4 112.6 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/035 Model Evaluation.mp4 110.7 MB
10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/085 Import Movie Dataset.mp4 107.4 MB
08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/063 Count Vectorizer.mp4 107.3 MB

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【压缩文件】 [GigaCourse.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

收录时间:2021-03-29 文档个数:575 文档大小:6.4 GB 最近下载:2025-03-20 人气:666 磁力链接

1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/14. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

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【压缩文件】 [ FreeCourseWeb.com ] Machine learning with Complete Python (Basic to Advanced) (9 - 2020).zip

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[ FreeCourseWeb.com ] Machine learning with Complete Python (Basic to Advanced) (9 - 2020).zip 2.5 GB

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【压缩文件】 [FreeCourseSite.com] Udemy - Machine Learning Practical Workout 8 Real-World Projects

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01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/006 DL-and-ML-Practical-Tutorials-Package.zip 616.8 MB
05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/042 Data Vizualization.mp4 217.5 MB
07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/056 Model Training.mp4 190.8 MB
10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/087 Collaborative Filter One Movie.mp4 177.5 MB
03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/021 Data Visualization Cleaning.mp4 175.1 MB
10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/086 Visualize Dataset.mp4 164.7 MB
07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/057 Model Evaluation.mp4 156.5 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/031 Data Vizualization.mp4 135.3 MB
01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/004 ML vs. DL vs. AI.mp4 133.2 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/071 Visualize Dataset Part 1.mp4 130.7 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/027 Theory Part 2.mp4 130.1 MB
08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/060 Naive Bayes Theory Part 2.mp4 126.7 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/076 Apply NLP to Data.mp4 118.0 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/081 Model Evaluation Part 2.mp4 117.5 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/037 Image Augmentation Part 1.mp4 114.8 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/038 Image augmentation Part 2.mp4 113.1 MB
09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/070 Load Dataset.mp4 112.6 MB
04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/035 Model Evaluation.mp4 110.7 MB
10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/085 Import Movie Dataset.mp4 107.4 MB
08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/063 Count Vectorizer.mp4 107.3 MB

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【压缩文件】 [ FreeCourseWeb.com ] Packt - Machine Learning for Beginners- Linear Regression Model in R.zip

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[ FreeCourseWeb.com ] Packt - Machine Learning for Beginners- Linear Regression Model in R.zip 1.8 GB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Machine Learning in JavaScript with TensorFlow.js.zip

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[ FreeCourseWeb.com ] Udemy - Machine Learning in JavaScript with TensorFlow.js.zip 2.6 GB

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【压缩文件】 Town.Of.Machine-DARKSiDERS

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【压缩文件】 Python for Data Science and Machine Learning Bootcamp

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Python for Data Science and Machine Learning Bootcamp.zip 3.5 GB
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【压缩文件】 Udemy - Math for Machine Learning.zip

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【压缩文件】 [Tutorialsplanet.NET] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
26. K-Means Clustering/6. K-Means Clustering in Python - Step 2.srt 175.4 MB
29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
22. Random Forest Classification/3. Random Forest Classification in Python.srt 149.4 MB
23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB

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【压缩文件】 [ DevCourseWeb.com ] Oreilly - TensorFlow Lite for Mobile Development - Deploy Machine Learning Models on Embedded and Mobile Devices.zip

收录时间:2021-03-26 文档个数:1 文档大小:753.4 MB 最近下载:2025-05-16 人气:999 磁力链接

[ DevCourseWeb.com ] Oreilly - TensorFlow Lite for Mobile Development - Deploy Machine Learning Models on Embedded and Mobile Devices.zip 753.4 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Exploratory Data Analysis (EDA) for Machine Learning.zip

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[ FreeCourseWeb.com ] Udemy - Exploratory Data Analysis (EDA) for Machine Learning.zip 365.0 MB

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【压缩文件】 [ DevCourseWeb.com ] Udemy - Data Science Practical - Real world Machine Learning Projects.zip

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【压缩文件】 [DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
29. Apriori/6. Apriori in Python - Step 4.mp4 172.3 MB
37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 160.2 MB
43. Model Selection/3. Grid Search in Python.mp4 159.2 MB
17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 153.7 MB
23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 142.6 MB
27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 142.5 MB
13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 129.6 MB
26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 126.4 MB
16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 124.4 MB
37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 124.3 MB
39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 118.4 MB
43. Model Selection/2. k-Fold Cross Validation in Python.mp4 117.8 MB
36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 116.4 MB
21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 113.3 MB
29. Apriori/4. Apriori in Python - Step 2.mp4 112.9 MB
37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 112.1 MB
18. Support Vector Machine (SVM)/4. SVM in Python.mp4 109.9 MB
34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 108.5 MB
40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 107.0 MB

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【压缩文件】 [FreeCourseLab.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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1. Welcome to the course!/5.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/6. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

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