[FreeCourseSite.com] Udemy - Machine Learning Practical Workout 8 Real-World Projects

File Information:
  1. Magnet Link:Magnet LinkMagnet Link
  2. File Size:6.54 GB
  3. Creat Time:2024-08-01
  4. Active Degree:19
  5. Last Active:2024-11-19
  6. File Tags:FreeCourseSite  com  Udemy  Machine  Learning  Practical  Workout  8  Real  World  Projects  
  7. Statement:This site does not provide download links, only text displays, and does not contain any infringement.
File List:

    [FreeCourseSite.com] Udemy - Machine Learning Practical Workout 8 Real-World Projects

  1. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/006 DL-and-ML-Practical-Tutorials-Package.zip 602.37 MB
  2. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/042 Data Vizualization.mp4 212.37 MB
  3. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/056 Model Training.mp4 186.37 MB
  4. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/087 Collaborative Filter One Movie.mp4 173.29 MB
  5. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/021 Data Visualization Cleaning.mp4 171.01 MB
  6. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/086 Visualize Dataset.mp4 160.88 MB
  7. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/057 Model Evaluation.mp4 152.87 MB
  8. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/031 Data Vizualization.mp4 132.12 MB
  9. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/004 ML vs. DL vs. AI.mp4 130.04 MB
  10. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/071 Visualize Dataset Part 1.mp4 127.60 MB
  11. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/027 Theory Part 2.mp4 127.00 MB
  12. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/060 Naive Bayes Theory Part 2.mp4 123.70 MB
  13. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/076 Apply NLP to Data.mp4 115.22 MB
  14. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/081 Model Evaluation Part 2.mp4 114.78 MB
  15. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/037 Image Augmentation Part 1.mp4 112.15 MB
  16. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/038 Image augmentation Part 2.mp4 110.44 MB
  17. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/070 Load Dataset.mp4 109.95 MB
  18. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/035 Model Evaluation.mp4 108.12 MB
  19. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/085 Import Movie Dataset.mp4 104.92 MB
  20. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/063 Count Vectorizer.mp4 104.74 MB
  21. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/033 Model Training Part 1.mp4 104.67 MB
  22. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/022 Model Training 1.mp4 103.16 MB
  23. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/028 Theory Part 3.mp4 101.82 MB
  24. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/034 Model Training Part 2.mp4 92.85 MB
  25. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/047 Explore Dataset.mp4 92.38 MB
  26. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/005 ML Deep Dive.mp4 85.83 MB
  27. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/055 Data Normalization.mp4 84.85 MB
  28. 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/088 Full Movie Recomendation.mp4 84.78 MB
  29. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/024 Model Evaluation.mp4 84.72 MB
  30. 02 ANACONDA AND JUPYTER INSTALLATION/012 How to run a Jupyter Notebook.mp4 84.11 MB
  31. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/029 Theory Part 4.mp4 81.84 MB
  32. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/016 Theory Part 3.mp4 81.39 MB
  33. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/014 Theory Part 1.mp4 79.63 MB
  34. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/053 Load Data.mp4 78.15 MB
  35. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/061 Spam Project Overview.mp4 77.71 MB
  36. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/052 Project Overview.mp4 77.27 MB
  37. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/075 Exercise 3.mp4 75.22 MB
  38. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/062 Visualize Dataset.mp4 75.00 MB
  39. 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/074 Exercise 2.mp4 74.38 MB
  40. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/044 Make Predictions.mp4 73.35 MB
  41. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/023 Model Training 2.mp4 73.14 MB
  42. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/020 Import Data.mp4 72.65 MB
  43. 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/040 Project Overview.mp4 72.62 MB
  44. 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/019 Project Overview.mp4 71.92 MB
  45. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/046 Load Avocado Data.mp4 67.03 MB
  46. 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/048 Make Predictions Part 1.mp4 66.88 MB
  47. 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/032 Data Preparation.mp4 62.35 MB
  48. 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/054 Data Exploration.mp4 60.91 MB
  49. 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/001 Welcome Message.mp4 60.63 MB
  50. 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/064 Model Training Part 1.mp4 57.75 MB