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[UDEMY] PROJECTS IN MACHINE LEARNING : BEGINNER TO PROFESSIONAL [FTU]

A complete guide to master machine learning concepts and create real world ML solutions

Created by Eduonix Learning Solutions, Eduonix-Tech ., Samy

Last updated 9/2018

English

What Will I Learn?

Learn core concepts of Machine Learning

Learn about differnt types of machine learning algorithms

Build real world projects using Supervised and Unsupervised learning algorithms

Learn to implement neural networks

For More Udemy Free Courses >>> http://www.freetutorials.eu
For more Lynda and other Courses >>> https://www.freecoursesonline.me/


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10. Project 5 Object Recognition/1.1 Object Recognition.zip.zip 219 kB
10. Project 5 Object Recognition/1. Intro.mp4 7.2 MB
10. Project 5 Object Recognition/1. Intro.srt 1.7 kB
10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.mp4 180 MB
10. Project 5 Object Recognition/2. Loading and Preprocessing the CIFAR10 Dataset.srt 33 kB
10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.mp4 206 MB
10. Project 5 Object Recognition/3. Building and Deploying the All-CNN Network Part 1.srt 31 kB
10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.mp4 171 MB
10. Project 5 Object Recognition/4. Building and Deploying the All-CNN Network Part 2.srt 25 kB
11. Project 6 Image Super Resolution/1.1 Image Super Resolution.zip.zip 9.4 MB
11. Project 6 Image Super Resolution/1. Intro.mp4 9.6 MB
11. Project 6 Image Super Resolution/1. Intro.srt 1.5 kB
11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.mp4 259 MB
11. Project 6 Image Super Resolution/2. Quality Metrics and Preprocessing Images.srt 44 kB
11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.mp4 358 MB
11. Project 6 Image Super Resolution/3. Image Super Resolution using Deep Learning.srt 55 kB
12. Project 7 Text Classification/1.1 Text Classification.zip.zip 55 kB
12. Project 7 Text Classification/1. Intro.mp4 5.0 MB
12. Project 7 Text Classification/1. Intro.srt 1.4 kB
12. Project 7 Text Classification/2. Feature Engineering.mp4 375 MB
12. Project 7 Text Classification/2. Feature Engineering.srt 56 kB
12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.mp4 204 MB
12. Project 7 Text Classification/3. Deploying Sklearn Classifiers.srt 32 kB
13. Project 8 - KMeans/1.1 KMeans.zip.zip 189 kB
13. Project 8 - KMeans/1. Intro.mp4 11 MB
13. Project 8 - KMeans/1. Intro.srt 1.6 kB
13. Project 8 - KMeans/2. Preprocessing Images for Clustering.mp4 231 MB
13. Project 8 - KMeans/2. Preprocessing Images for Clustering.srt 46 kB
13. Project 8 - KMeans/3. Evaluation and Visualization.mp4 210 MB
13. Project 8 - KMeans/3. Evaluation and Visualization.srt 35 kB
14. Project 9 PCA/1.1 PCA.zip.zip 220 kB
14. Project 9 PCA/1. Intro.mp4 3.7 MB
14. Project 9 PCA/1. Intro.srt 1.3 kB
14. Project 9 PCA/2. The Elbow Method.mp4 114 MB
14. Project 9 PCA/2. The Elbow Method.srt 29 kB
14. Project 9 PCA/3. PCA Compression and Visualization.mp4 185 MB
14. Project 9 PCA/3. PCA Compression and Visualization.srt 36 kB
1. An Introduction to Machine Learning/1. Introduction.mp4 1.7 MB
1. An Introduction to Machine Learning/1. Introduction.srt 1.6 kB
1. An Introduction to Machine Learning/2. What is Machine Learning.mp4 29 MB
1. An Introduction to Machine Learning/2. What is Machine Learning.srt 16 kB
1. An Introduction to Machine Learning/3. Types and Applications of ML.mp4 53 MB
1. An Introduction to Machine Learning/3. Types and Applications of ML.srt 35 kB
1. An Introduction to Machine Learning/4. AI vs ML.mp4 23 MB
1. An Introduction to Machine Learning/4. AI vs ML.srt 12 kB
1. An Introduction to Machine Learning/5. Essential Math for ML and AI.mp4 36 MB
1. An Introduction to Machine Learning/5. Essential Math for ML and AI.srt 23 kB
1. An Introduction to Machine Learning/6.1 Unit 1 Quiz.pdf.pdf 64 kB
1. An Introduction to Machine Learning/6. Quiz- Questions- Section1.html 100 B
1. An Introduction to Machine Learning/7.1 Unit 1 Solutions.pdf.pdf 62 kB
1. An Introduction to Machine Learning/7. Quiz- Answers - Section 1.html 100 B
2. Supervised Learning - part 1/10.1 Unit 2 Solutions.pdf.pdf 75 kB
2. Supervised Learning - part 1/10. Quiz- Answers - Section 2.html 100 B
2. Supervised Learning - part 1/1. Introduction to Supervised Learning.mp4 26 MB
2. Supervised Learning - part 1/1. Introduction to Supervised Learning.srt 18 kB
2. Supervised Learning - part 1/2. Linear Methods for Classification.mp4 34 MB
2. Supervised Learning - part 1/2. Linear Methods for Classification.srt 22 kB
2. Supervised Learning - part 1/3. Linear Methods for Regression.mp4 27 MB
2. Supervised Learning - part 1/3. Linear Methods for Regression.srt 15 kB
2. Supervised Learning - part 1/4. Support Vector Machines.mp4 36 MB
2. Supervised Learning - part 1/4. Support Vector Machines.srt 20 kB
2. Supervised Learning - part 1/5. Basis Expansions.mp4 21 MB
2. Supervised Learning - part 1/5. Basis Expansions.srt 14 kB
2. Supervised Learning - part 1/6. Model Selection Procedures.mp4 27 MB
2. Supervised Learning - part 1/6. Model Selection Procedures.srt 17 kB
2. Supervised Learning - part 1/7.1 Supervised Learning.zip.zip 167 kB
2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.mp4 31 MB
2. Supervised Learning - part 1/7. Bonus! Supervised Learning Project in Python Part 1.srt 19 kB
2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.mp4 36 MB
2. Supervised Learning - part 1/8. Bonus! Supervised Learning Project in Python Part 2.srt 18 kB
2. Supervised Learning - part 1/9.1 Unit 2 Quiz.pdf.pdf 53 kB
2. Supervised Learning - part 1/9. Quiz- Questions- Section 2.html 100 B
3. Unsupervised Learning/1. Introduction to Unsupervised Learning.mp4 32 MB
3. Unsupervised Learning/1. Introduction to Unsupervised Learning.srt 16 kB
3. Unsupervised Learning/2. Association Rules.mp4 28 MB
3. Unsupervised Learning/2. Association Rules.srt 19 kB
3. Unsupervised Learning/3. Cluster Analysis.mp4 28 MB
3. Unsupervised Learning/3. Cluster Analysis.srt 18 kB
3. Unsupervised Learning/4. Reinforcement Learning.mp4 21 MB
3. Unsupervised Learning/4. Reinforcement Learning.srt 22 kB
3. Unsupervised Learning/5.1 Unsupervised Learning.zip.zip 92 kB
3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.mp4 22 MB
3. Unsupervised Learning/5. Bonus! KMeans Clustering Project.srt 20 kB
3. Unsupervised Learning/6.1 Unit 3 Quiz.pdf.pdf 30 kB
3. Unsupervised Learning/6. Quiz- Questions- Section 3.html 100 B
3. Unsupervised Learning/7.1 Unit 3 Solutions.pdf.pdf 41 kB
3. Unsupervised Learning/7. Quiz- Answers - Section 3.html 100 B
4. Neural Networks/1. Introduction to Neural Networks.mp4 23 MB
4. Neural Networks/1. Introduction to Neural Networks.srt 18 kB
4. Neural Networks/2. The Perceptron.mp4 17 MB
4. Neural Networks/2. The Perceptron.srt 13 kB
4. Neural Networks/3. The Backpropagation Algorithm.mp4 23 MB
4. Neural Networks/3. The Backpropagation Algorithm.srt 16 kB
4. Neural Networks/4. Training Procedures.mp4 24 MB
4. Neural Networks/4. Training Procedures.srt 19 kB
4. Neural Networks/5. Convolutional Neural Networks.mp4 32 MB
4. Neural Networks/5. Convolutional Neural Networks.srt 22 kB
5. Real World Machine Learning/1. Introduction to Real World ML.mp4 26 MB
5. Real World Machine Learning/1. Introduction to Real World ML.srt 16 kB
5. Real World Machine Learning/2. Choosing an Algorithm.mp4 19 MB
5. Real World Machine Learning/2. Choosing an Algorithm.srt 13 kB
5. Real World Machine Learning/3. Design and Analysis of ML Experiments.mp4 20 MB
5. Real World Machine Learning/3. Design and Analysis of ML Experiments.srt 14 kB
5. Real World Machine Learning/4. Common Software for ML.mp4 31 MB
5. Real World Machine Learning/4. Common Software for ML.srt 15 kB
5. Real World Machine Learning/5.1 Unit 5 Quiz.pdf.pdf 35 kB
5. Real World Machine Learning/5. Quiz- Questions- Section 5.html 100 B
5. Real World Machine Learning/6.1 Unit 5 Solutions.pdf.pdf 47 kB
5. Real World Machine Learning/6. Quiz- Answers - Section 5.html 100 B
6. Warmup Project/1.1 Final Project.zip.zip 47 kB
6. Warmup Project/1. Setting up OpenAI Gym.mp4 30 MB
6. Warmup Project/1. Setting up OpenAI Gym.srt 17 kB
6. Warmup Project/2. Building and Training the Network Part 1.mp4 36 MB
6. Warmup Project/2. Building and Training the Network Part 1.srt 20 kB
6. Warmup Project/3. Building and Training the Network Part 2.mp4 63 MB
6. Warmup Project/3. Building and Training the Network Part 2.srt 27 kB
7. Project 1Board Game Review Prediction/1.1 Board Game Review Predictions.zip.zip 129 kB
7. Project 1Board Game Review Prediction/1. Intro.mp4 7.6 MB
7. Project 1Board Game Review Prediction/1. Intro.srt 2.0 kB
7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.mp4 18 MB
7. Project 1Board Game Review Prediction/2. Board Game Review Prediction - Building the Dataset Part 1.srt 13 kB
7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.mp4 36 MB
7. Project 1Board Game Review Prediction/3. Board Game Review Prediction - Building the Dataset Part 2.srt 20 kB
7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.mp4 36 MB
7. Project 1Board Game Review Prediction/4. Board Game Review Prediction - Training the Models.srt 17 kB
8. Project 2 Credit Card Fraud Detection/1.1 Credit Card Fraud Detection.zip.zip 238 kB
8. Project 2 Credit Card Fraud Detection/1. Intro.mp4 7.6 MB
8. Project 2 Credit Card Fraud Detection/1. Intro.srt 2.8 kB
8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.mp4 38 MB
8. Project 2 Credit Card Fraud Detection/2. Credit Card Fraud Detection - The Dataset.srt 26 kB
8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.mp4 49 MB
8. Project 2 Credit Card Fraud Detection/3. Credit Card Fraud Detection - The Algorithms.srt 25 kB
9. Project 4 Intro to Natural Language Processing/1.1 Intro to Natural Language Processing.zip.zip 65 kB
9. Project 4 Intro to Natural Language Processing/1. Intro.mp4 17 MB
9. Project 4 Intro to Natural Language Processing/1. Intro.srt 1.7 kB
9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.mp4 198 MB
9. Project 4 Intro to Natural Language Processing/2. Tokenizing, Stop Words, and Stemming.srt 30 kB
9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.mp4 323 MB
9. Project 4 Intro to Natural Language Processing/3. Tagging, Chunking, and Named Entity Recognition.srt 37 kB
9. Project 4 Intro to Natural Language Processing/4. Text Classification.mp4 217 MB
9. Project 4 Intro to Natural Language Processing/4. Text Classification.srt 30 kB
[FreeCoursesOnline.Me].url 100 B
[FreeTutorials.Us].url 100 B
[FTU Forum].url 200 B
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