[FreeTutorials.Us] Udemy - Projects in Machine Learning Beginner To Professional

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    [FreeTutorials.Us] Udemy - Projects in Machine Learning Beginner To Professional

  1. 12. Project 7 Text Classification/2. Feature Engineering.mp4 384.40 MB
  2. 11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4 366.15 MB
  3. 9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4 330.81 MB
  4. 11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4 265.00 MB
  5. 13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4 236.40 MB
  6. 9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4 222.13 MB
  7. 13. Project 8 - KMeans/3. Evaluation and Visualization.mp4 214.51 MB
  8. 10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4 210.54 MB
  9. 12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4 209.13 MB
  10. 9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4 203.10 MB
  11. 14. Project 9 PCA/3. PCA Compression and Visualization.mp4 189.44 MB
  12. 10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4 184.87 MB
  13. 10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4 174.89 MB
  14. 14. Project 9 PCA/2. The Elbow Method.mp4 116.94 MB
  15. 6. Warmup Project/3. Building and Training the Network Part 2.mp4 64.86 MB
  16. 1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4 54.32 MB
  17. 8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp4 50.08 MB
  18. 8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp4 38.47 MB
  19. 2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4 37.09 MB
  20. 6. Warmup Project/2. Building and Training the Network Part 1.mp4 36.88 MB
  21. 7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.mp4 36.68 MB
  22. 1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp4 36.65 MB
  23. 2. Supervised Learning - part 1/4. Support Vector Machines.mp4 36.65 MB
  24. 7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.mp4 36.36 MB
  25. 2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4 34.96 MB
  26. 4. Neural Networks/5. Convolutional Neural Networks.mp4 32.81 MB
  27. 3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp4 32.54 MB
  28. 5. Real World Machine Learning/4. Common Software for ML.mp4 32.08 MB
  29. 2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp4 31.75 MB
  30. 6. Warmup Project/1. Setting up OpenAI Gym.mp4 30.84 MB
  31. 1. An Introduction to Machine Learning/2. What is Machine Learning.mp4 29.89 MB
  32. 3. Unsupervised Learning/2. Association Rules.mp4 29.18 MB
  33. 3. Unsupervised Learning/3. Cluster Analysis.mp4 28.62 MB
  34. 2. Supervised Learning - part 1/3. Linear Methods for Regression.mp4 27.66 MB
  35. 2. Supervised Learning - part 1/6. Model Selection Procedures.mp4 27.57 MB
  36. 5. Real World Machine Learning/1. Introduction to Real World ML.mp4 26.19 MB
  37. 2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4 26.08 MB
  38. 4. Neural Networks/4. Training Procedures.mp4 24.61 MB
  39. 1. An Introduction to Machine Learning/4. AI vs ML.mp4 23.43 MB
  40. 4. Neural Networks/1. Introduction to Neural Networks.mp4 23.26 MB
  41. 4. Neural Networks/3. The Backpropagation Algorithm.mp4 23.18 MB
  42. 3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp4 22.48 MB
  43. 2. Supervised Learning - part 1/5. Basis Expansions.mp4 21.83 MB
  44. 3. Unsupervised Learning/4. Reinforcement Learning.mp4 21.46 MB
  45. 5. Real World Machine Learning/3. Design and Analysis of ML Experiments.mp4 20.27 MB
  46. 5. Real World Machine Learning/2. Choosing an Algorithm.mp4 19.59 MB
  47. 7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.mp4 18.16 MB
  48. 4. Neural Networks/2. The Perceptron.mp4 17.53 MB
  49. 9. Project 4 Intro to Natural Language Processing/1. Intro.mp4 17.36 MB
  50. 13. Project 8 - KMeans/1. Intro.mp4 11.48 MB