[DesireCourse.Com] Udemy - Machine Learning Terminology & Process For Beginners
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2023-1-26 05:00 | 2024-5-2 08:20 | 78 | 1.61 GB | 28 |
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文件列表
- 1. Introduction/1. Course Promo & Instructor Bio.mp442.2MB
- 1. Introduction/2. Introduction - Course Agenda.mp429.63MB
- 1. Introduction/3. What Will I Learn.mp426.61MB
- 1. Introduction/4. When Do You Use Machine Learning.mp432.91MB
- 1. Introduction/5. AWS Machine Learning Stack & AI.mp4102.41MB
- 2. Machine Learning Problem Framing/1. Business Vs ML Problem.mp469.14MB
- 2. Machine Learning Problem Framing/2. Types of Machine Learning.mp473.95MB
- 2. Machine Learning Problem Framing/3. Machine Learning Algorithms.mp4127.67MB
- 3. Working With DataSets/1. Different Types of Data.mp433.99MB
- 3. Working With DataSets/2. Data Collection & Integration.mp459.48MB
- 3. Working With DataSets/3. Data Cleaning.mp445.61MB
- 3. Working With DataSets/4. Data Splitting & Shuffling.mp450.74MB
- 4. Data Visualization & Feature Engineering/1. What Are Features.mp437.23MB
- 4. Data Visualization & Feature Engineering/2. Visualization Types.mp434.86MB
- 4. Data Visualization & Feature Engineering/3. What Is Feature Engineering.mp449.3MB
- 4. Data Visualization & Feature Engineering/4. Numeric Value Binning.mp449.02MB
- 5. Model Training & Evaluation/1. Parameter Tuning.mp437.28MB
- 5. Model Training & Evaluation/2. Overfitting Vs Underfitting.mp461.5MB
- 6. Business Goal Evaluation/1. Goal Evaluation.mp431MB
- 6. Business Goal Evaluation/2. Augmenting Your Data.mp442.47MB
- 6. Business Goal Evaluation/3. Predictions.mp438.25MB
- 7. Hands-On Machine Learning Using AWS Rekognition & Python/1. Complete ML Run through Project.mp4179.27MB
- 7. Hands-On Machine Learning Using AWS Rekognition & Python/2. Banking Data Set Upload.mp489.41MB
- 7. Hands-On Machine Learning Using AWS Rekognition & Python/3. Create & Training Data Model.mp4102.72MB
- 7. Hands-On Machine Learning Using AWS Rekognition & Python/4. Creating Predictions.mp479.37MB
- 8. Conclusion & Bonus/1. Bonus 1 Machine Learning in Azure.mp431.4MB
- 8. Conclusion & Bonus/2. Bonus 2 AWS Preparing Data Set and Model.mp451.71MB
- 8. Conclusion & Bonus/3. Bonus 3 Creating Data Source in AWS.mp440.25MB
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