[FreeCourseLab.com] Udemy - Projects in Machine Learning Beginner To Professional

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  • 1. An Introduction to Machine Learning/1. Introduction.mp4 1.71 MB
    1. An Introduction to Machine Learning/1. Introduction.srt 1.63 KB
    1. An Introduction to Machine Learning/2. What is Machine Learning.mp4 29.19 MB
    1. An Introduction to Machine Learning/2. What is Machine Learning.srt 15.77 KB
    1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4 53.05 MB
    1. An Introduction to Machine Learning/3. Types and Applications of ML.srt 34.78 KB
    1. An Introduction to Machine Learning/4. AI vs ML.mp4 22.88 MB
    1. An Introduction to Machine Learning/4. AI vs ML.srt 12.52 KB
    1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp4 35.79 MB
    1. An Introduction to Machine Learning/5. Essential Math for ML and AI.srt 23.34 KB
    1. An Introduction to Machine Learning/6. Quiz- Questions- Section1.html 65 B
    1. An Introduction to Machine Learning/6.1 Unit 1 Quiz.pdf.pdf 64.52 KB
    1. An Introduction to Machine Learning/7. Quiz- Answers - Section 1.html 53 B
    1. An Introduction to Machine Learning/7.1 Unit 1 Solutions.pdf.pdf 61.74 KB
    10. Project 5 Object Recognition/1. Intro.mp4 7.21 MB
    10. Project 5 Object Recognition/1. Intro.srt 1.66 KB
    10. Project 5 Object Recognition/1.1 Object Recognition.zip.zip 219.04 KB
    10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4 180.54 MB
    10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.srt 32.63 KB
    10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4 205.6 MB
    10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.srt 30.7 KB
    10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4 170.79 MB
    10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.srt 25.32 KB
    11. Project 6 Image Super Resolution/1. Intro.mp4 9.56 MB
    11. Project 6 Image Super Resolution/1. Intro.srt 1.51 KB
    11. Project 6 Image Super Resolution/1.1 Image Super Resolution.zip.zip 9.41 MB
    11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4 258.79 MB
    11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.srt 44.26 KB
    11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4 357.57 MB
    11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.srt 55.11 KB
    12. Project 7 Text Classification/1. Intro.mp4 5 MB
    12. Project 7 Text Classification/1. Intro.srt 1.39 KB
    12. Project 7 Text Classification/1.1 Text Classification.zip.zip 55.36 KB
    12. Project 7 Text Classification/2. Feature Engineering.mp4 375.39 MB
    12. Project 7 Text Classification/2. Feature Engineering.srt 56.48 KB
    12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4 204.23 MB
    12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt 32.28 KB
    13. Project 8 - KMeans/1. Intro.mp4 11.21 MB
    13. Project 8 - KMeans/1. Intro.srt 1.58 KB
    13. Project 8 - KMeans/1.1 KMeans.zip.zip 189.11 KB
    13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4 230.86 MB
    13. Project 8 - KMeans/2. Preprocessing Images for Clustering.srt 45.96 KB
    13. Project 8 - KMeans/3. Evaluation and Visualization.mp4 209.48 MB
    13. Project 8 - KMeans/3. Evaluation and Visualization.srt 34.79 KB
    14. Project 9 PCA/1. Intro.mp4 3.69 MB
    14. Project 9 PCA/1. Intro.srt 1.3 KB
    14. Project 9 PCA/1.1 PCA.zip.zip 219.64 KB
    14. Project 9 PCA/2. The Elbow Method.mp4 114.2 MB
    14. Project 9 PCA/2. The Elbow Method.srt 29.11 KB
    14. Project 9 PCA/3. PCA Compression and Visualization.mp4 185 MB
    14. Project 9 PCA/3. PCA Compression and Visualization.srt 36.13 KB
    2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4 25.47 MB
    2. Supervised Learning - part 1/1. Introduction to Supervised Learning.srt 18.3 KB
    2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html 53 B
    2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf 75.28 KB
    2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4 34.14 MB
    2. Supervised Learning - part 1/2. Linear Methods for Classification.srt 21.99 KB
    2. Supervised Learning - part 1/3. Linear Methods for Regression.mp4 27.01 MB
    2. Supervised Learning - part 1/3. Linear Methods for Regression.srt 14.73 KB
    2. Supervised Learning - part 1/4. Support Vector Machines.mp4 35.79 MB
    2. Supervised Learning - part 1/4. Support Vector Machines.srt 20.46 KB
    2. Supervised Learning - part 1/5. Basis Expansions.mp4 21.32 MB
    2. Supervised Learning - part 1/5. Basis Expansions.srt 14.06 KB
    2. Supervised Learning - part 1/6. Model Selection Procedures.mp4 26.93 MB
    2. Supervised Learning - part 1/6. Model Selection Procedures.srt 17.05 KB
    2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp4 31.01 MB
    2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.srt 18.94 KB
    2. Supervised Learning - part 1/7.1 Supervised Learning.zip.zip 167.22 KB
    2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4 36.22 MB
    2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.srt 17.81 KB
    2. Supervised Learning - part 1/9. Quiz- Questions- Section 2.html 65 B
    2. Supervised Learning - part 1/9.1 Unit 2 Quiz.pdf.pdf 52.97 KB
    3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp4 31.78 MB
    3. Unsupervised Learning/1. Introduction to Unsupervised Learning.srt 15.81 KB
    3. Unsupervised Learning/2. Association Rules.mp4 28.5 MB
    3. Unsupervised Learning/2. Association Rules.srt 18.71 KB
    3. Unsupervised Learning/3. Cluster Analysis.mp4 27.95 MB
    3. Unsupervised Learning/3. Cluster Analysis.srt 17.86 KB
    3. Unsupervised Learning/4. Reinforcement Learning.mp4 20.96 MB
    3. Unsupervised Learning/4. Reinforcement Learning.srt 22.35 KB
    3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp4 21.95 MB
    3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.srt 19.77 KB
    3. Unsupervised Learning/5.1 Unsupervised Learning.zip.zip 92.48 KB
    3. Unsupervised Learning/6. Quiz- Questions- Section 3.html 65 B
    3. Unsupervised Learning/6.1 Unit 3 Quiz.pdf.pdf 29.8 KB
    3. Unsupervised Learning/7. Quiz- Answers - Section 3.html 53 B
    3. Unsupervised Learning/7.1 Unit 3 Solutions.pdf.pdf 41.25 KB
    4. Neural Networks/1. Introduction to Neural Networks.mp4 22.71 MB
    4. Neural Networks/1. Introduction to Neural Networks.srt 17.55 KB
    4. Neural Networks/2. The Perceptron.mp4 17.12 MB
    4. Neural Networks/2. The Perceptron.srt 13.35 KB
    4. Neural Networks/3. The Backpropagation Algorithm.mp4 22.64 MB
    4. Neural Networks/3. The Backpropagation Algorithm.srt 16.14 KB
    4. Neural Networks/4. Training Procedures.mp4 24.04 MB
    4. Neural Networks/4. Training Procedures.srt 18.74 KB
    4. Neural Networks/5. Convolutional Neural Networks.mp4 32.04 MB
    4. Neural Networks/5. Convolutional Neural Networks.srt 21.82 KB
    5. Real World Machine Learning/1. Introduction to Real World ML.mp4 25.58 MB
    5. Real World Machine Learning/1. Introduction to Real World ML.srt 16.38 KB
    5. Real World Machine Learning/2. Choosing an Algorithm.mp4 19.14 MB
    5. Real World Machine Learning/2. Choosing an Algorithm.srt 13.28 KB
    5. Real World Machine Learning/3. Design and Analysis of ML Experiments.mp4 19.79 MB
    5. Real World Machine Learning/3. Design and Analysis of ML Experiments.srt 14.47 KB
    5. Real World Machine Learning/4. Common Software for ML.mp4 31.33 MB
    5. Real World Machine Learning/4. Common Software for ML.srt 15.09 KB
    5. Real World Machine Learning/5. Quiz- Questions- Section 5.html 65 B
    5. Real World Machine Learning/5.1 Unit 5 Quiz.pdf.pdf 35.22 KB
    5. Real World Machine Learning/6. Quiz- Answers - Section 5.html 53 B
    5. Real World Machine Learning/6.1 Unit 5 Solutions.pdf.pdf 47.2 KB
    6. Warmup Project/1. Setting up OpenAI Gym.mp4 30.12 MB
    6. Warmup Project/1. Setting up OpenAI Gym.srt 17.17 KB
    6. Warmup Project/1.1 Final Project.zip.zip 47.02 KB
    6. Warmup Project/2. Building and Training the Network Part 1.mp4 36.02 MB
    6. Warmup Project/2. Building and Training the Network Part 1.srt 20.35 KB
    6. Warmup Project/3. Building and Training the Network Part 2.mp4 63.34 MB
    6. Warmup Project/3. Building and Training the Network Part 2.srt 26.95 KB
    7. Project 1Board Game Review Prediction/1. Intro.mp4 7.55 MB
    7. Project 1Board Game Review Prediction/1. Intro.srt 2.02 KB
    7. Project 1Board Game Review Prediction/1.1 Board Game Review Predictions.zip.zip 128.63 KB
    7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.mp4 17.73 MB
    7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.srt 12.67 KB
    7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.mp4 35.5 MB
    7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.srt 20.37 KB
    7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.mp4 35.82 MB
    7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.srt 16.81 KB
    8. Project 2 Credit Card Fraud Detection/1. Intro.mp4 7.57 MB
    8. Project 2 Credit Card Fraud Detection/1. Intro.srt 2.8 KB
    8. Project 2 Credit Card Fraud Detection/1.1 Credit Card Fraud Detection.zip.zip 237.75 KB
    8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp4 37.57 MB
    8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.srt 26.52 KB
    8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp4 48.91 MB
    8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.srt 24.93 KB
    9. Project 4 Intro to Natural Language Processing/1. Intro.mp4 16.95 MB
    9. Project 4 Intro to Natural Language Processing/1. Intro.srt 1.66 KB
    9. Project 4 Intro to Natural Language Processing/1.1 Intro to Natural Language Processing.zip.zip 64.95 KB
    9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4 198.34 MB
    9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.srt 30.14 KB
    9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4 323.06 MB
    9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.srt 37.42 KB
    9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4 216.93 MB
    9. Project 4 Intro to Natural Language Processing/4. Text Classification.srt 29.66 KB
    [FreeCourseLab.com].url 126 B

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