Udemy - Learn Automated Machine Learning (Auto ML) With 10 Projects

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.5 GB
  • Uploaded Bytutsnode
  • Downloads364
  • Last checkedJan. 05th '21
  • Date uploadedJan. 02nd '21
  • Seeders 29
  • Leechers8
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Infohash : 2C6CC36C86000C3082F0E399FBCFA6BE3991D4D1


Description

Automated Machine Learning(AutoML) is currently one of the explosive subfields within Data Science. It sounds great for those who are not fluent in machine learning and terrifying for current Data Scientists. In this course, we are going to provide students with knowledge of Automated Machine Learning (Auto ml). Students will learn to use Auto Sklearn, Auto Keras, TPOT in their real-world problems.

In this course, we are going to work on

Credit card fraud detection using Auto-Sklearn
Mobile price prediction using Auto-Sklearn
Medical insurance cost prediction using TPOT
Red wine quality classification using TPOT
Image classification using Auto-Keras
Image classification using ANN(Auto-Keras)
Image classification using CNN(Auto-Keras)
Text classification using Auto-Keras
Object detection using Auto-Keras
Topic classification using Auto-Keras

Who this course is for:

Intermediate in machine learning
Interest in AutoML

Requirements

Should Know Basics of Machine Learning
Should Know about Machine Learning Libraries

Last Updated 12/2020

Files:

Data Science Practical Automated Machine Learning(Auto ML) [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML) 7. Auto Keras Models
  • 3. Image classification using ANN AutoKeras.mp4 (149.1 MB)
  • 2.1 Image_classification_using_Autokeras.zip (10.1 KB)
  • 12.1 Topic_Classification_using_Autokeras.zip (8.9 KB)
  • 4.1 Image_Classification_using_ANN.zip (7.3 KB)
  • 6.1 Image_Classification_using_CNN_model(Autokeras).zip (4.9 KB)
  • 8. 4Download the project code..html (0.0 KB)
  • 10. 5Download the project code..html (0.0 KB)
  • 2. 1Download the project code..html (0.0 KB)
  • 4. 2Download the project code..html (0.0 KB)
  • 6. 3Download the project code..html (0.0 KB)
  • 12. 6Download the project code..html (0.0 KB)
  • 11. Topic Classifer using Autokeras.mp4 (107.6 MB)
  • 8.1 Object_Detection_using_Autokeras.zip (245.5 KB)
  • 10.1 Text_classification_using_Autokeras_.zip (234.1 KB)
  • 9. Text classification using Autokeras.mp4 (103.0 MB)
  • 5. Image classification using CNN Autokeras.mp4 (100.8 MB)
  • 7. Object recognition using autokeras.mp4 (83.0 MB)
  • 1. Image classification using AutoKeras.mp4 (68.7 MB)
3. Auto Sklearn Part 1
  • 2.1 Mobile_price_prediction.zip (325.8 KB)
  • 3. Data Preprocessing And Data Visualization.srt (9.6 KB)
  • 2. Download the project files.html (0.0 KB)
  • 4. Building a model.srt (6.1 KB)
  • 1. Introduction to mobile price prediction.srt (5.3 KB)
  • 3. Data Preprocessing And Data Visualization.mp4 (93.1 MB)
  • 4. Building a model.mp4 (75.7 MB)
  • 1. Introduction to mobile price prediction.mp4 (37.5 MB)
4. Auto Sklearn Part2
  • 3. Data preprocessing and Data visulization.srt (11.9 KB)
  • 4. Model Building.srt (8.9 KB)
  • 1. Introduction to credit card fraud detection.srt (7.7 KB)
  • 3. Data preprocessing and Data visulization.mp4 (118.4 MB)
  • 2. Download the project code..html (0.0 KB)
  • 4. Model Building.mp4 (104.2 MB)
  • 2.1 Credit_card_fraud_detection.zip (66.7 MB)
  • 1. Introduction to credit card fraud detection.mp4 (63.2 MB)
5. TPOT Models Part 1
  • 2.1 medical_insurance_cost_prediction.zip (102.8 KB)
  • 2. Download the project code..html (0.0 KB)
  • 3. Data preprocessing and visualization.mp4 (60.3 MB)
  • 4. Model building.mp4 (53.7 MB)
  • 1. Introduction to medical insurance cost prediction.mp4 (29.6 MB)
6. TPOT Models Part 2
  • 2. Download the project code..html (0.0 KB)
  • 2.1 Red_wine_quality_classification.zip (143.4 KB)
  • 4. Model building.mp4 (57.5 MB)
  • 3. Data preprocessing and visualization.mp4 (47.8 MB)
  • 1. Introduction to Red wine quality classification.mp4 (28.8 MB)
2. Introduction to AutoML
  • 3. Introduction to Auto Keras.mp4 (31.1 MB)
  • 1. Introduction to Auto Sklearn.mp4 (25.0 MB)
  • 2. Introduction to TPOT.mp4 (14.3 MB)
1. Introduction to the course
  • 1. Introduction to the course.mp4 (18.0 MB)
  • TutsNode.com.txt (0.1 KB)
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