[DesireCourse.Com] Udemy - Machine Learning Terminology & Process For Beginners

磁力链接/BT种子名称

[DesireCourse.Com] Udemy - Machine Learning Terminology & Process For Beginners

磁力链接/BT种子简介

种子哈希：c842601e666203f11ccde75323ecef3f899349fd
文件大小： 1.61G
已经下载：358次
下载速度：极快
收录时间：2022-02-08
最近下载：2025-09-05

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文件列表

  • 7. Hands-On Machine Learning Using AWS Rekognition & Python/1. Complete ML Run through Project.mp4 188.0 MB
  • 2. Machine Learning Problem Framing/3. Machine Learning Algorithms.mp4 133.9 MB
  • 7. Hands-On Machine Learning Using AWS Rekognition & Python/3. Create & Training Data Model.mp4 107.7 MB
  • 1. Introduction/5. AWS Machine Learning Stack & AI.mp4 107.4 MB
  • 7. Hands-On Machine Learning Using AWS Rekognition & Python/2. Banking Data Set Upload.mp4 93.7 MB
  • 7. Hands-On Machine Learning Using AWS Rekognition & Python/4. Creating Predictions.mp4 83.2 MB
  • 2. Machine Learning Problem Framing/2. Types of Machine Learning.mp4 77.5 MB
  • 2. Machine Learning Problem Framing/1. Business Vs ML Problem.mp4 72.5 MB
  • 5. Model Training & Evaluation/2. Overfitting Vs Underfitting.mp4 64.5 MB
  • 3. Working With DataSets/2. Data Collection & Integration.mp4 62.4 MB
  • 8. Conclusion & Bonus/2. Bonus 2 AWS Preparing Data Set and Model.mp4 54.2 MB
  • 3. Working With DataSets/4. Data Splitting & Shuffling.mp4 53.2 MB
  • 4. Data Visualization & Feature Engineering/3. What Is Feature Engineering.mp4 51.7 MB
  • 4. Data Visualization & Feature Engineering/4. Numeric Value Binning.mp4 51.4 MB
  • 3. Working With DataSets/3. Data Cleaning.mp4 47.8 MB
  • 6. Business Goal Evaluation/2. Augmenting Your Data.mp4 44.5 MB
  • 1. Introduction/1. Course Promo & Instructor Bio.mp4 44.2 MB
  • 8. Conclusion & Bonus/3. Bonus 3 Creating Data Source in AWS.mp4 42.2 MB
  • 6. Business Goal Evaluation/3. Predictions.mp4 40.1 MB
  • 5. Model Training & Evaluation/1. Parameter Tuning.mp4 39.1 MB
  • 4. Data Visualization & Feature Engineering/1. What Are Features.mp4 39.0 MB
  • 4. Data Visualization & Feature Engineering/2. Visualization Types.mp4 36.6 MB
  • 3. Working With DataSets/1. Different Types of Data.mp4 35.6 MB
  • 1. Introduction/4. When Do You Use Machine Learning.mp4 34.5 MB
  • 8. Conclusion & Bonus/1. Bonus 1 Machine Learning in Azure.mp4 32.9 MB
  • 6. Business Goal Evaluation/1. Goal Evaluation.mp4 32.5 MB
  • 1. Introduction/2. Introduction - Course Agenda.mp4 31.1 MB
  • 1. Introduction/3. What Will I Learn.mp4 27.9 MB
  • 8. Conclusion & Bonus/4. Bonus Discounts.html 37.3 kB
  • 7. Hands-On Machine Learning Using AWS Rekognition & Python/1. Complete ML Run through Project.vtt 19.7 kB
  • 2. Machine Learning Problem Framing/3. Machine Learning Algorithms.vtt 18.9 kB
  • 1. Introduction/5. AWS Machine Learning Stack & AI.vtt 13.5 kB
  • 7. Hands-On Machine Learning Using AWS Rekognition & Python/3. Create & Training Data Model.vtt 12.1 kB
  • 2. Machine Learning Problem Framing/2. Types of Machine Learning.vtt 12.0 kB
  • 2. Machine Learning Problem Framing/1. Business Vs ML Problem.vtt 11.3 kB
  • 7. Hands-On Machine Learning Using AWS Rekognition & Python/2. Banking Data Set Upload.vtt 10.2 kB
  • 8. Conclusion & Bonus/3. Bonus 3 Creating Data Source in AWS.vtt 9.3 kB
  • 7. Hands-On Machine Learning Using AWS Rekognition & Python/4. Creating Predictions.vtt 9.0 kB
  • 4. Data Visualization & Feature Engineering/4. Numeric Value Binning.vtt 8.4 kB
  • 3. Working With DataSets/4. Data Splitting & Shuffling.vtt 8.1 kB
  • 5. Model Training & Evaluation/2. Overfitting Vs Underfitting.vtt 8.1 kB
  • 3. Working With DataSets/2. Data Collection & Integration.vtt 8.1 kB
  • 4. Data Visualization & Feature Engineering/3. What Is Feature Engineering.vtt 7.0 kB
  • 1. Introduction/2. Introduction - Course Agenda.vtt 6.8 kB
  • 3. Working With DataSets/3. Data Cleaning.vtt 6.7 kB
  • 8. Conclusion & Bonus/1. Bonus 1 Machine Learning in Azure.vtt 6.5 kB
  • 6. Business Goal Evaluation/2. Augmenting Your Data.vtt 6.0 kB
  • 4. Data Visualization & Feature Engineering/2. Visualization Types.vtt 5.9 kB
  • 6. Business Goal Evaluation/3. Predictions.vtt 5.8 kB
  • 1. Introduction/3. What Will I Learn.vtt 5.6 kB
  • 1. Introduction/4. When Do You Use Machine Learning.vtt 5.5 kB
  • 3. Working With DataSets/1. Different Types of Data.vtt 5.3 kB
  • 5. Model Training & Evaluation/1. Parameter Tuning.vtt 5.2 kB
  • 1. Introduction/1. Course Promo & Instructor Bio.vtt 5.2 kB
  • 6. Business Goal Evaluation/1. Goal Evaluation.vtt 4.9 kB
  • 4. Data Visualization & Feature Engineering/1. What Are Features.vtt 4.6 kB
  • 8. Conclusion & Bonus/2. Bonus 2 AWS Preparing Data Set and Model.vtt 4.3 kB
  • [DesireCourse.Com].url 51 Bytes

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