Udemy - Real World Automated Machine Learning Projects Bootcamp 2022

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size4 GB
  • Uploaded Byfreecoursewb
  • Downloads60
  • Last checkedMar. 06th '22
  • Date uploadedMar. 04th '22
  • Seeders 14
  • Leechers16

Infohash : 29CEF60E1C582369542EF9CF30332E3B298BAB8A

Real World Automated Machine Learning Projects Bootcamp 2022



https://DevCourseWeb.com

Instructors: Pianalytix
15 sections • 110 lectures • 9h 43m
Video: MP4 1280x720 44 KHz | English + Sub
Updated 2/2022 | Size: 4 GB

Solve Data Science Problems Using Auto-ML, Learn To Use Eval ML, Pycaret, Auto Keras, Auto SK Learn, H20 Auto ML

What you'll learn
Understand the full product workflow for the machine learning lifecycle.
Write clean, maintainable and performant code
Have a great intuition of many Auto Machine Learning models
Master Machine Learning and use it on the job
Learn to perform Classification and Regression modelling

Requirements
Knowledge Of Machine Learning
Description
Automated machine learning (AutoML) represents a fundamental shift in the way organizations of all sizes approach machine learning and data science. Applying traditional machine learning methods to real-world business problems is time-consuming, resource-intensive, and challenging. It requires experts in several disciplines, including data scientists – some of the most sought-after professionals in the job market right now.

Files:

[ DevCourseWeb.com ] Udemy - Real World Automated Machine Learning Projects Bootcamp 2022
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction To The Course.mp4 (34.2 MB)
    • 2. Udemy Course Feedback.mp4 (2.0 MB)
    10. Project-9 IPL Cricket Score Prediction Using TPOT (Auto ML)
    • 1. Introduction to the Project.mp4 (34.4 MB)
    • 2. Importing Libraries and DataSet.mp4 (40.8 MB)
    • 3. Data Analysis and Cleaning.mp4 (52.0 MB)
    • 4. Data Preprocessing.mp4 (56.6 MB)
    • 5. Model Building using ML Algorithms.mp4 (59.2 MB)
    • 6. Model Building using TPOT Auto ML Library-1.mp4 (44.4 MB)
    • 7. Model Building using TPOT Auto ML Library-2.mp4 (26.9 MB)
    11. Project-10 Predicting Bike Rentals Count Using ML And H2O Auto ML
    • 1. Introduction to the Project.mp4 (43.4 MB)
    • 2. Importing libraries and DataSet.mp4 (33.9 MB)
    • 3. Data Analysis and Cleaning -1.mp4 (68.5 MB)
    • 4. Data Analysis and Cleaning -2.mp4 (33.7 MB)
    • 5. Data Preprocessing.mp4 (31.2 MB)
    • 6. Splitting the Data.mp4 (29.4 MB)
    • 7. Model Building and Prediction using ML.mp4 (29.5 MB)
    • 8. Model Building and Prediction using H2O Auto ML Library.mp4 (73.5 MB)
    12. Project-11 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)
    • 1. Introduction to the Project.mp4 (17.9 MB)
    • 2. Importing Libraries and Data Set.mp4 (20.9 MB)
    • 3. Data Analysis.mp4 (72.4 MB)
    • 4. Feature Engineering.mp4 (36.4 MB)
    • 5. Model Building and Prediction using Deep Learning.mp4 (46.7 MB)
    • 6. Model Building and Prediction using Auto Keras(Auto ML).mp4 (70.3 MB)
    13. Project-12 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)
    • 1. Introduction to the Project.mp4 (17.4 MB)
    • 2. Importing Libraries and DataSet.mp4 (19.7 MB)
    • 3. Data Analysis and Feature Engineering.mp4 (44.4 MB)
    • 4. Data Preprocessing 1.mp4 (53.0 MB)
    • 5. Data Preprocessing 2.mp4 (30.4 MB)
    • 6. Model Building and Prediction using ML.mp4 (34.5 MB)
    • 7. Model Building and Prediction using Auto SK Learn(Auto ML).mp4 (56.3 MB)
    14. Project-13 Hospital Mortality Prediction Using PyCaret (Auto ML)
    • 1. Introduction to the Project.mp4 (24.3 MB)
    • 2. Importing Libraries and DataSet.mp4 (24.4 MB)
    • 3. Data Analysis and Preprocessing 1.mp4 (56.4 MB)
    • 4. Data Analysis and Preprocessing 2.mp4 (38.8 MB)
    • 5. Model Building using ML.mp4 (24.4 MB)
    • 6. Model Building using Auto ML(PyCaret).mp4 (82.6 MB)
    15. Project-14 Employee Evaluation For Promotion Using ML And Eval Auto ML
    • 1. Introduction to the Project.mp4 (15.4 MB)
    • 2. Importing Libraries and DataSet.mp4 (19.5 MB)
    • 3. Data Analysis and Preprocessing 1.mp4 (75.4 MB)
    • 4. Data Analysis and Preprocessing 2.mp4 (29.0 MB)
    • 5. Model Building uisng ML.mp4 (31.9 MB)
    • 6. Model Building and Prediction using Eval Auto ML.mp4 (70.8 MB)
    2. Project-1 Heart Attack Risk Predictor Using Auto ML
    • 1. Introduction.mp4 (23.8 MB)
    • 1. Introduction.srt (4.2 KB)
    • 2. Importing Libraries and Datasets.mp4 (15.7 MB)
    • 2. Importing Libraries and Datasets.srt (3.0 KB)
    • 3. Data Analysis.mp4 (56.1 MB)
    • 3. Data Analysis.srt (10.4 KB)
    • 4. Model Building Part 1.mp4 (46.7 MB)
    • 4. Model Building Part 1.srt (8.1 KB)
    • 5. Model Building Part 2.mp4 (33.7 MB)
    • 5. Model Building Part 2.srt (6.1 KB)
    • 6. Model building and Predictions using Auto ML (Eval ML).mp4 (61.4 MB)
    • 6. Model building and Predictions using Auto ML (Eval ML).srt (11.2 KB)
    • 3. Data Analysis.jpeg (162.3 KB)
      • 3. Project-2 Credit card fraud detection
      • 1. Introduction to the Project.mp4 (29.5 MB)
      • 1. Introduction to the Project.srt (7.0 KB)
      • 2. Importing Libraries and DataSet.mp4 (27.4 MB)
      • 2. Importing Libraries and DataSet.srt (5.0 KB)
      • 3. Data Analysis.mp4 (43.4 MB)
      • 3. Data Analysis.srt (9.3 KB)
      • 4. Model Building using ML.mp4 (58.3 MB)
      • 4. Model Building using ML.srt (11.8 KB)
      • 5. Model Building and Prediction using PyCaret(AutoML).mp4 (97.0 MB)
      • 5. Model Building and Prediction using PyCaret(AutoML).srt (15.2 KB)
      4. Project-3 Flight Fare Prediction Using Auto SK Learn (Auto ML)
      • 1. Introduction to the Project..mp4 (21.9 MB)
      • 2. Importing Libraries and DataSet.mp4 (45.2 MB)
      • 3. Data Analysis.mp4 (31.6 MB)
      • 4. Feature Engineering 1.mp4 (43.6 MB)
      • 5. Feature Engineering 2.mp4 (50.7 MB)
      • 6. Feature Selection.mp4 (25.0 MB)
      • 7. Model Building using ML.mp4 (38.5 MB)
      • 8. Model Building and Prediction using Auto SK Learn.mp4 (41.9 MB)
      5. Project-4 Petrol Price Forecasting Using Auto Keras
      • 1. Introduction to the Project.mp4 (30.6 MB)
      • 2. Importing Libraries and Data Set.mp4 (20.0 MB)
      • 3. Data Analysis and splitting of Data.mp4 (40.0 MB)
      • 4. Data Preprocessing.mp4 (36.8 MB)
      • 5. Model Building and Prediction using LSTM model.mp4 (32.5 MB)
      • 6. Model Building and prediction using ARIMA and Auto Keras.mp4 (37.5 MB)
      6. Project-5 Bank Customer Churn Prediction Using H2O Auto ML
      • 1. Introduction to the Project..mp4 (33.0 MB)
      • 2. 2a Importing Libraries and Data Set.mp4 (25.1 MB)
      • 3. Data Analysis.mp4 (65.2 MB)
      • 4. 4a Feature Engineering.mp4 (47.4 MB)
      • 5. Model Building and Prediction using ANN.mp4 (34.1 MB)
      • 6. Model Building and Prediction using H2O Auto ML(Auto ML).mp4 (92.0 MB)
      7. Project-6 Air Quality Index Predictor Using TPOT With End-To-End Deployment (A
      • 1. Introduction to the Project.mp4 (35.4 MB)
      • 2. Importing Libraries and Data sets.mp4 (31.0 MB)
      • 3. Data Analysis.mp4 (67.7 MB)
      • 4. feature Engineering.mp4 (30.7 MB)
      • 5. Model Building using ML- 1.mp4 (69.1 MB)

      • Code:

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