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

Creation Time	July 27, 2024, 2:06 a.m.
Last Access Time	Jan. 11, 2026, 12:40 a.m.
File Size	4.2 GB
Keywords	Beginner - Udemy Machine To Learning in Professional FreeCourseLab com Projects
Total Requests	62
Total Files	142
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12. Project 7 Text Classification/2. Feature Engineering.mp4 375.4 MB
11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4 357.6 MB
9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4 323.1 MB
11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4 258.8 MB
13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4 230.9 MB
9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4 216.9 MB
13. Project 8 - KMeans/3. Evaluation and Visualization.mp4 209.5 MB
10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4 205.6 MB
12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4 204.2 MB
9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4 198.3 MB
14. Project 9 PCA/3. PCA Compression and Visualization.mp4 185.0 MB
10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4 180.5 MB
10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4 170.8 MB
14. Project 9 PCA/2. The Elbow Method.mp4 114.2 MB
6. Warmup Project/3. Building and Training the Network Part 2.mp4 63.3 MB
1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4 53.1 MB
8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp4 48.9 MB
8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp4 37.6 MB
2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4 36.2 MB
6. Warmup Project/2. Building and Training the Network Part 1.mp4 36.0 MB
7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.mp4 35.8 MB
1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp4 35.8 MB
2. Supervised Learning - part 1/4. Support Vector Machines.mp4 35.8 MB
7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.mp4 35.5 MB
2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4 34.1 MB
4. Neural Networks/5. Convolutional Neural Networks.mp4 32.0 MB
3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp4 31.8 MB
5. Real World Machine Learning/4. Common Software for ML.mp4 31.3 MB
2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp4 31.0 MB
6. Warmup Project/1. Setting up OpenAI Gym.mp4 30.1 MB
1. An Introduction to Machine Learning/2. What is Machine Learning.mp4 29.2 MB
3. Unsupervised Learning/2. Association Rules.mp4 28.5 MB
3. Unsupervised Learning/3. Cluster Analysis.mp4 28.0 MB
2. Supervised Learning - part 1/3. Linear Methods for Regression.mp4 27.0 MB
2. Supervised Learning - part 1/6. Model Selection Procedures.mp4 26.9 MB
5. Real World Machine Learning/1. Introduction to Real World ML.mp4 25.6 MB
2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4 25.5 MB
4. Neural Networks/4. Training Procedures.mp4 24.0 MB
1. An Introduction to Machine Learning/4. AI vs ML.mp4 22.9 MB
4. Neural Networks/1. Introduction to Neural Networks.mp4 22.7 MB
4. Neural Networks/3. The Backpropagation Algorithm.mp4 22.6 MB
3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp4 22.0 MB
2. Supervised Learning - part 1/5. Basis Expansions.mp4 21.3 MB
3. Unsupervised Learning/4. Reinforcement Learning.mp4 21.0 MB
5. Real World Machine Learning/3. Design and Analysis of ML Experiments.mp4 19.8 MB
5. Real World Machine Learning/2. Choosing an Algorithm.mp4 19.1 MB
7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.mp4 17.7 MB
4. Neural Networks/2. The Perceptron.mp4 17.1 MB
9. Project 4 Intro to Natural Language Processing/1. Intro.mp4 17.0 MB
13. Project 8 - KMeans/1. Intro.mp4 11.2 MB
11. Project 6 Image Super Resolution/1. Intro.mp4 9.6 MB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution.zip.zip 9.4 MB
8. Project 2 Credit Card Fraud Detection/1. Intro.mp4 7.6 MB
7. Project 1Board Game Review Prediction/1. Intro.mp4 7.6 MB
10. Project 5 Object Recognition/1. Intro.mp4 7.2 MB
12. Project 7 Text Classification/1. Intro.mp4 5.0 MB
14. Project 9 PCA/1. Intro.mp4 3.7 MB
1. An Introduction to Machine Learning/1. Introduction.mp4 1.7 MB
8. Project 2 Credit Card Fraud Detection/1.1 Credit Card Fraud Detection.zip.zip 237.8 KB
14. Project 9 PCA/1.1 PCA.zip.zip 219.6 KB
10. Project 5 Object Recognition/1.1 Object Recognition.zip.zip 219.0 KB
13. Project 8 - KMeans/1.1 KMeans.zip.zip 189.1 KB
2. Supervised Learning - part 1/7.1 Supervised Learning.zip.zip 167.2 KB
7. Project 1Board Game Review Prediction/1.1 Board Game Review Predictions.zip.zip 128.6 KB
3. Unsupervised Learning/5.1 Unsupervised Learning.zip.zip 92.5 KB
2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf 75.3 KB
9. Project 4 Intro to Natural Language Processing/1.1 Intro to Natural Language Processing.zip.zip 65.0 KB
1. An Introduction to Machine Learning/6.1 Unit 1 Quiz.pdf.pdf 64.5 KB
1. An Introduction to Machine Learning/7.1 Unit 1 Solutions.pdf.pdf 61.7 KB
12. Project 7 Text Classification/2. Feature Engineering.srt 56.5 KB
12. Project 7 Text Classification/1.1 Text Classification.zip.zip 55.4 KB
11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.srt 55.1 KB
2. Supervised Learning - part 1/9.1 Unit 2 Quiz.pdf.pdf 53.0 KB
5. Real World Machine Learning/6.1 Unit 5 Solutions.pdf.pdf 47.2 KB
6. Warmup Project/1.1 Final Project.zip.zip 47.0 KB
13. Project 8 - KMeans/2. Preprocessing Images for Clustering.srt 46.0 KB
11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.srt 44.3 KB
3. Unsupervised Learning/7.1 Unit 3 Solutions.pdf.pdf 41.3 KB
9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.srt 37.4 KB
14. Project 9 PCA/3. PCA Compression and Visualization.srt 36.1 KB
5. Real World Machine Learning/5.1 Unit 5 Quiz.pdf.pdf 35.2 KB
13. Project 8 - KMeans/3. Evaluation and Visualization.srt 34.8 KB
1. An Introduction to Machine Learning/3. Types and Applications of ML.srt 34.8 KB
10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.srt 32.6 KB
12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt 32.3 KB
10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.srt 30.7 KB
9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.srt 30.1 KB
3. Unsupervised Learning/6.1 Unit 3 Quiz.pdf.pdf 29.8 KB
9. Project 4 Intro to Natural Language Processing/4. Text Classification.srt 29.7 KB
14. Project 9 PCA/2. The Elbow Method.srt 29.1 KB
6. Warmup Project/3. Building and Training the Network Part 2.srt 26.9 KB
8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.srt 26.5 KB
10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.srt 25.3 KB
8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.srt 24.9 KB
1. An Introduction to Machine Learning/5. Essential Math for ML and AI.srt 23.3 KB
3. Unsupervised Learning/4. Reinforcement Learning.srt 22.4 KB
2. Supervised Learning - part 1/2. Linear Methods for Classification.srt 22.0 KB
4. Neural Networks/5. Convolutional Neural Networks.srt 21.8 KB
2. Supervised Learning - part 1/4. Support Vector Machines.srt 20.5 KB
7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.srt 20.4 KB
6. Warmup Project/2. Building and Training the Network Part 1.srt 20.3 KB
3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.srt 19.8 KB
2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.srt 18.9 KB
4. Neural Networks/4. Training Procedures.srt 18.7 KB
3. Unsupervised Learning/2. Association Rules.srt 18.7 KB
2. Supervised Learning - part 1/1. Introduction to Supervised Learning.srt 18.3 KB
3. Unsupervised Learning/3. Cluster Analysis.srt 17.9 KB
2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.srt 17.8 KB
4. Neural Networks/1. Introduction to Neural Networks.srt 17.6 KB
6. Warmup Project/1. Setting up OpenAI Gym.srt 17.2 KB
2. Supervised Learning - part 1/6. Model Selection Procedures.srt 17.1 KB
7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.srt 16.8 KB
5. Real World Machine Learning/1. Introduction to Real World ML.srt 16.4 KB
4. Neural Networks/3. The Backpropagation Algorithm.srt 16.1 KB
3. Unsupervised Learning/1. Introduction to Unsupervised Learning.srt 15.8 KB
1. An Introduction to Machine Learning/2. What is Machine Learning.srt 15.8 KB
5. Real World Machine Learning/4. Common Software for ML.srt 15.1 KB
2. Supervised Learning - part 1/3. Linear Methods for Regression.srt 14.7 KB
5. Real World Machine Learning/3. Design and Analysis of ML Experiments.srt 14.5 KB
2. Supervised Learning - part 1/5. Basis Expansions.srt 14.1 KB
4. Neural Networks/2. The Perceptron.srt 13.4 KB
5. Real World Machine Learning/2. Choosing an Algorithm.srt 13.3 KB
7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.srt 12.7 KB
1. An Introduction to Machine Learning/4. AI vs ML.srt 12.5 KB
8. Project 2 Credit Card Fraud Detection/1. Intro.srt 2.8 KB
7. Project 1Board Game Review Prediction/1. Intro.srt 2.0 KB
10. Project 5 Object Recognition/1. Intro.srt 1.7 KB
9. Project 4 Intro to Natural Language Processing/1. Intro.srt 1.7 KB
1. An Introduction to Machine Learning/1. Introduction.srt 1.6 KB
13. Project 8 - KMeans/1. Intro.srt 1.6 KB
11. Project 6 Image Super Resolution/1. Intro.srt 1.5 KB
12. Project 7 Text Classification/1. Intro.srt 1.4 KB
14. Project 9 PCA/1. Intro.srt 1.3 KB
[FreeCourseLab.com].url 126 bytes
1. An Introduction to Machine Learning/6. Quiz- Questions- Section1.html 65 bytes
2. Supervised Learning - part 1/9. Quiz- Questions- Section 2.html 65 bytes
3. Unsupervised Learning/6. Quiz- Questions- Section 3.html 65 bytes
5. Real World Machine Learning/5. Quiz- Questions- Section 5.html 65 bytes
1. An Introduction to Machine Learning/7. Quiz- Answers - Section 1.html 53 bytes
2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html 53 bytes
3. Unsupervised Learning/7. Quiz- Answers - Section 3.html 53 bytes
5. Real World Machine Learning/6. Quiz- Answers - Section 5.html 53 bytes

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

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