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[ CourseWikia.com ] Udemy - Mastering OCR using Deep Learning and OpenCV-Python.zip 816.9 MB
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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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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
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3/4.1 ImageChips.zip 703.3 MB
3/9. Lab Detect image object with CNN (deep learning model) in ArcGIS Pro.mp4 222.7 MB
3/7.1 Model_Definition.zip 220.4 MB
3/3. Lab Image preparation for deep learning in ArcGIS Pro.mp4 183.3 MB
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3/10. Lab Tips for Mapping of the detected objects.mp4 81.9 MB
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4. Summary & Conclusions/2. Final Project Description.mp4 31.4 MB
3/8. Step 3 Apply deep learning model for object detection or image classification.mp4 26.4 MB
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