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[ DevCourseWeb com ] Udemy - Real World Automated Machine Learning Projects Bootcamp 2022
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1. Introduction
1. Introduction To The Course.mp4
2. Udemy Course Feedback.mp4
10. Project-9 IPL Cricket Score Prediction Using TPOT (Auto ML)
1. Introduction to the Project.mp4
2. Importing Libraries and DataSet.mp4
3. Data Analysis and Cleaning.mp4
4. Data Preprocessing.mp4
5. Model Building using ML Algorithms.mp4
6. Model Building using TPOT Auto ML Library-1.mp4
7. Model Building using TPOT Auto ML Library-2.mp4
11. Project-10 Predicting Bike Rentals Count Using ML And H2O Auto ML
1. Introduction to the Project.mp4
2. Importing libraries and DataSet.mp4
3. Data Analysis and Cleaning -1.mp4
4. Data Analysis and Cleaning -2.mp4
5. Data Preprocessing.mp4
6. Splitting the Data.mp4
7. Model Building and Prediction using ML.mp4
8. Model Building and Prediction using H2O Auto ML Library.mp4
12. Project-11 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)
1. Introduction to the Project.mp4
2. Importing Libraries and Data Set.mp4
3. Data Analysis.mp4
4. Feature Engineering.mp4
5. Model Building and Prediction using Deep Learning.mp4
6. Model Building and Prediction using Auto Keras(Auto ML).mp4
13. Project-12 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)
1. Introduction to the Project.mp4
2. Importing Libraries and DataSet.mp4
3. Data Analysis and Feature Engineering.mp4
4. Data Preprocessing 1.mp4
5. Data Preprocessing 2.mp4
6. Model Building and Prediction using ML.mp4
7. Model Building and Prediction using Auto SK Learn(Auto ML).mp4
14. Project-13 Hospital Mortality Prediction Using PyCaret (Auto ML)
1. Introduction to the Project.mp4
2. Importing Libraries and DataSet.mp4
3. Data Analysis and Preprocessing 1.mp4
4. Data Analysis and Preprocessing 2.mp4
5. Model Building using ML.mp4
6. Model Building using Auto ML(PyCaret).mp4
15. Project-14 Employee Evaluation For Promotion Using ML And Eval Auto ML
1. Introduction to the Project.mp4
2. Importing Libraries and DataSet.mp4
3. Data Analysis and Preprocessing 1.mp4
4. Data Analysis and Preprocessing 2.mp4
5. Model Building uisng ML.mp4
6. Model Building and Prediction using Eval Auto ML.mp4
2. Project-1 Heart Attack Risk Predictor Using Auto ML
1. Introduction.mp4
1. Introduction.srt
2. Importing Libraries and Datasets.mp4
2. Importing Libraries and Datasets.srt
3. Data Analysis.mp4
3. Data Analysis.srt
4. Model Building Part 1.mp4
4. Model Building Part 1.srt
5. Model Building Part 2.mp4
5. Model Building Part 2.srt
6. Model building and Predictions using Auto ML (Eval ML).mp4
6. Model building and Predictions using Auto ML (Eval ML).srt
3. Data Analysis.jpeg
3. Project-2 Credit card fraud detection
1. Introduction to the Project.mp4
1. Introduction to the Project.srt
2. Importing Libraries and DataSet.mp4
2. Importing Libraries and DataSet.srt
3. Data Analysis.mp4
3. Data Analysis.srt
4. Model Building using ML.mp4
4. Model Building using ML.srt
5. Model Building and Prediction using PyCaret(AutoML).mp4
5. Model Building and Prediction using PyCaret(AutoML).srt
4. Project-3 Flight Fare Prediction Using Auto SK Learn (Auto ML)
1. Introduction to the Project..mp4
2. Importing Libraries and DataSet.mp4
3. Data Analysis.mp4
4. Feature Engineering 1.mp4
5. Feature Engineering 2.mp4
6. Feature Selection.mp4
7. Model Building using ML.mp4
8. Model Building and Prediction using Auto SK Learn.mp4
5. Project-4 Petrol Price Forecasting Using Auto Keras
1. Introduction to the Project.mp4
2. Importing Libraries and Data Set.mp4
3. Data Analysis and splitting of Data.mp4
4. Data Preprocessing.mp4
5. Model Building and Prediction using LSTM model.mp4
6. Model Building and prediction using ARIMA and Auto Keras.mp4
6. Project-5 Bank Customer Churn Prediction Using H2O Auto ML
1. Introduction to the Project..mp4
2. 2a Importing Libraries and Data Set.mp4
3. Data Analysis.mp4
4. 4a Feature Engineering.mp4
5. Model Building and Prediction using ANN.mp4
6. Model Building and Prediction using H2O Auto ML(Auto ML).mp4
7. Project-6 Air Quality Index Predictor Using TPOT With End-To-End Deployment (A
1. Introduction to the Project.mp4
2. Importing Libraries and Data sets.mp4
3. Data Analysis.mp4
4. feature Engineering.mp4
5. Model Building using ML- 1.mp4
6. Model Building using ML- 2.mp4
7. Model Building and Predictions using TPOT Library(AUto ML).mp4
8. Deployment of Model using Flask API.mp4
8. Project-7 Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)
1. Introduction to the Project.mp4
2. Importing Libraries and DataSet.mp4
3. Data Analysis and Handling Missing Values- 1.mp4
4. Data Analysis and Handling Missing Values- 2.mp4
5. Feature Engineering.mp4
6. Model Building using ML Algorithms.mp4
7. Model Building and Prediction using PyCaret(AutoML).mp4
8. Using FLASK API.mp4
9. Deploying model using Heroku.mp4
9. Project-8 Pizza Price Prediction Using ML And EVALML(Auto ML)
1. Introduction to the project.mp4
2. Importing Libraries and DataSet.mp4
3. Data Analysis.mp4
4. Feature Engineering.mp4
5. Model Building using ML models.mp4
6. Model Building and Prediction using EVAL ML(Auto ML).mp4
Bonus Resources.txt
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