[DesireCourse.Com] Udemy - Machine Learning Terminology & Process For Beginners
File List
- 7. Hands-On Machine Learning Using AWS Rekognition & Python/1. Complete ML Run through Project.mp4 179.3 MB
- 2. Machine Learning Problem Framing/3. Machine Learning Algorithms.mp4 127.7 MB
- 7. Hands-On Machine Learning Using AWS Rekognition & Python/3. Create & Training Data Model.mp4 102.7 MB
- 1. Introduction/5. AWS Machine Learning Stack & AI.mp4 102.4 MB
- 7. Hands-On Machine Learning Using AWS Rekognition & Python/2. Banking Data Set Upload.mp4 89.4 MB
- 7. Hands-On Machine Learning Using AWS Rekognition & Python/4. Creating Predictions.mp4 79.4 MB
- 2. Machine Learning Problem Framing/2. Types of Machine Learning.mp4 73.9 MB
- 2. Machine Learning Problem Framing/1. Business Vs ML Problem.mp4 69.1 MB
- 5. Model Training & Evaluation/2. Overfitting Vs Underfitting.mp4 61.5 MB
- 3. Working With DataSets/2. Data Collection & Integration.mp4 59.5 MB
- 8. Conclusion & Bonus/2. Bonus 2 AWS Preparing Data Set and Model.mp4 51.7 MB
- 3. Working With DataSets/4. Data Splitting & Shuffling.mp4 50.7 MB
- 4. Data Visualization & Feature Engineering/3. What Is Feature Engineering.mp4 49.3 MB
- 4. Data Visualization & Feature Engineering/4. Numeric Value Binning.mp4 49.0 MB
- 3. Working With DataSets/3. Data Cleaning.mp4 45.6 MB
- 6. Business Goal Evaluation/2. Augmenting Your Data.mp4 42.5 MB
- 1. Introduction/1. Course Promo & Instructor Bio.mp4 42.2 MB
- 8. Conclusion & Bonus/3. Bonus 3 Creating Data Source in AWS.mp4 40.2 MB
- 6. Business Goal Evaluation/3. Predictions.mp4 38.2 MB
- 5. Model Training & Evaluation/1. Parameter Tuning.mp4 37.3 MB
- 4. Data Visualization & Feature Engineering/1. What Are Features.mp4 37.2 MB
- 4. Data Visualization & Feature Engineering/2. Visualization Types.mp4 34.9 MB
- 3. Working With DataSets/1. Different Types of Data.mp4 34.0 MB
- 1. Introduction/4. When Do You Use Machine Learning.mp4 32.9 MB
- 8. Conclusion & Bonus/1. Bonus 1 Machine Learning in Azure.mp4 31.4 MB
- 6. Business Goal Evaluation/1. Goal Evaluation.mp4 31.0 MB
- 1. Introduction/2. Introduction - Course Agenda.mp4 29.6 MB
- 1. Introduction/3. What Will I Learn.mp4 26.6 MB
- 8. Conclusion & Bonus/4. Bonus Discounts.html 36.4 KB
- 7. Hands-On Machine Learning Using AWS Rekognition & Python/1. Complete ML Run through Project.vtt 19.3 KB
- 2. Machine Learning Problem Framing/3. Machine Learning Algorithms.vtt 18.4 KB
- 1. Introduction/5. AWS Machine Learning Stack & AI.vtt 13.1 KB
- 7. Hands-On Machine Learning Using AWS Rekognition & Python/3. Create & Training Data Model.vtt 11.9 KB
- 2. Machine Learning Problem Framing/2. Types of Machine Learning.vtt 11.7 KB
- 2. Machine Learning Problem Framing/1. Business Vs ML Problem.vtt 11.0 KB
- 7. Hands-On Machine Learning Using AWS Rekognition & Python/2. Banking Data Set Upload.vtt 10.0 KB
- 8. Conclusion & Bonus/3. Bonus 3 Creating Data Source in AWS.vtt 9.1 KB
- 7. Hands-On Machine Learning Using AWS Rekognition & Python/4. Creating Predictions.vtt 8.8 KB
- 4. Data Visualization & Feature Engineering/4. Numeric Value Binning.vtt 8.2 KB
- 3. Working With DataSets/4. Data Splitting & Shuffling.vtt 7.9 KB
- 5. Model Training & Evaluation/2. Overfitting Vs Underfitting.vtt 7.9 KB
- 3. Working With DataSets/2. Data Collection & Integration.vtt 7.9 KB
- 4. Data Visualization & Feature Engineering/3. What Is Feature Engineering.vtt 6.9 KB
- 1. Introduction/2. Introduction - Course Agenda.vtt 6.6 KB
- 3. Working With DataSets/3. Data Cleaning.vtt 6.6 KB
- 8. Conclusion & Bonus/1. Bonus 1 Machine Learning in Azure.vtt 6.4 KB
- 6. Business Goal Evaluation/2. Augmenting Your Data.vtt 5.9 KB
- 4. Data Visualization & Feature Engineering/2. Visualization Types.vtt 5.7 KB
- 6. Business Goal Evaluation/3. Predictions.vtt 5.6 KB
- 1. Introduction/3. What Will I Learn.vtt 5.5 KB
- 1. Introduction/4. When Do You Use Machine Learning.vtt 5.4 KB
- 3. Working With DataSets/1. Different Types of Data.vtt 5.2 KB
- 5. Model Training & Evaluation/1. Parameter Tuning.vtt 5.0 KB
- 1. Introduction/1. Course Promo & Instructor Bio.vtt 5.0 KB
- 6. Business Goal Evaluation/1. Goal Evaluation.vtt 4.8 KB
- 4. Data Visualization & Feature Engineering/1. What Are Features.vtt 4.5 KB
- 8. Conclusion & Bonus/2. Bonus 2 AWS Preparing Data Set and Model.vtt 4.2 KB
- [DesireCourse.Com].url 51 bytes
Download Torrent
Related Resources
Copyright Infringement
If the content above is not authorized, please contact us via activebusinesscommunication[AT]gmail.com. Remember to include the full url in your complaint.