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

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Added 5 years ago by tutsnode in Other
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Udemy - Learn Automated Machine Learning (Auto ML) With 10 Projects (Size: 1.51 GB)
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  TutsNode.com.txt 63 B
  [TGx]Downloaded from torrentgalaxy.to .txt 585 B
  [TutsNode.com] - Data Science Practical Automated Machine Learning(Auto ML)
  1. Introduction to the course
  1. Introduction to the course.mp4 17.99 MB
  2. Introduction to AutoML
  1. Introduction to Auto Sklearn.mp4 24.98 MB
  2. Introduction to TPOT.mp4 14.29 MB
  3. Introduction to Auto Keras.mp4 31.06 MB
  3. Auto Sklearn Part 1
  1. Introduction to mobile price prediction.mp4 37.5 MB
  1. Introduction to mobile price prediction.srt 5.3 KB
  2. Download the project files.html 48 B
  2.1 Mobile_price_prediction.zip 325.76 KB
  3. Data Preprocessing And Data Visualization.mp4 93.07 MB
  3. Data Preprocessing And Data Visualization.srt 9.6 KB
  4. Building a model.mp4 75.66 MB
  4. Building a model.srt 6.06 KB
  4. Auto Sklearn Part2
  1. Introduction to credit card fraud detection.mp4 63.17 MB
  1. Introduction to credit card fraud detection.srt 7.71 KB
  2. Download the project code..html 47 B
  2.1 Credit_card_fraud_detection.zip 66.67 MB
  3. Data preprocessing and Data visulization.mp4 118.37 MB
  3. Data preprocessing and Data visulization.srt 11.88 KB
  4. Model Building.mp4 104.22 MB
  4. Model Building.srt 8.92 KB
  5. TPOT Models Part 1
  1. Introduction to medical insurance cost prediction.mp4 29.61 MB
  2. Download the project code..html 47 B
  2.1 medical_insurance_cost_prediction.zip 102.8 KB
  3. Data preprocessing and visualization.mp4 60.28 MB
  4. Model building.mp4 53.74 MB
  6. TPOT Models Part 2
  1. Introduction to Red wine quality classification.mp4 28.81 MB
  2. Download the project code..html 47 B
  2.1 Red_wine_quality_classification.zip 143.41 KB
  3. Data preprocessing and visualization.mp4 47.82 MB
  4. Model building.mp4 57.55 MB
  7. Auto Keras Models
  1. Image classification using AutoKeras.mp4 68.72 MB
  10. 5Download the project code..html 48 B
  10.1 Text_classification_using_Autokeras_.zip 234.14 KB
  11. Topic Classifer using Autokeras.mp4 107.6 MB
  12. 6Download the project code..html 47 B
  12.1 Topic_Classification_using_Autokeras.zip 8.9 KB
  2. 1Download the project code..html 47 B
  2.1 Image_classification_using_Autokeras.zip 10.06 KB
  3. Image classification using ANN AutoKeras.mp4 149.11 MB
  4. 2Download the project code..html 47 B
  4.1 Image_Classification_using_ANN.zip 7.28 KB
  5. Image classification using CNN Autokeras.mp4 100.8 MB
  6. 3Download the project code..html 47 B
  6.1 Image_Classification_using_CNN_model(Autokeras).zip 4.86 KB
  7. Object recognition using autokeras.mp4 83.03 MB
  8. 4Download the project code..html 48 B
  8.1 Object_Detection_using_Autokeras.zip 245.49 KB
  9. Text classification using Autokeras.mp4 102.99 MB

Description



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

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