[FTUForum.com] [UDEMY] A-Z Machine Learning using Azure Machine Learning (AzureML) [FTU]

07. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.mp4

12. Text Analytics and Natural Language Processing/5. [Hands On] - Classify Customer Complaints using Text Analytics.mp4

12. Text Analytics and Natural Language Processing/4. Feature Hashing.mp4

01. Basics of Machine Learning/4. Why Machine Learning is the Future.mp4

10. Feature Selection - Select a subset of Variables or features with highest impact/9. [Hands On] - Fisher Based LDA - Experiment.mp4

01. Basics of Machine Learning/5. What is Machine Learning.mp4

12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.mp4

04. Classification/2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.mp4

12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.mp4

13. Thank You and Bonus Lecture/1. Way Forward.mp4

10. Feature Selection - Select a subset of Variables or features with highest impact/2. Pearson Correlation Coefficient.mp4

12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.mp4

03. Data Processing/5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.mp4

11. Recommendation System/5. [Hands On] - Restaurant Recommendation Experiment.mp4

03. Data Processing/6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.mp4

04. Classification/12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.mp4

11. Recommendation System/1. What is a Recommendation System.mp4

08. Clustering/2. [Hands On] - Cluster Analysis Experiment 1.mp4

04. Classification/4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4

07. Regression Analysis/5. Gradient Descent.mp4

03. Data Processing/4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.mp4

04. Classification/10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.mp4

10. Feature Selection - Select a subset of Variables or features with highest impact/8. Fisher Based LDA - Intuition.mp4

02. Getting Started with Azure ML/2. What is Azure ML and high level architecture..mp4

08. Clustering/1. What is Cluster Analysis.mp4

03. Data Processing/2. [Hands On] - Data Input-Output - Convert and Unpack.mp4

05. Hyperparameter Tuning/1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.mp4

04. Classification/6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.mp4

04. Classification/3. Logistic Regression - Understand Parameters and Their Impact.mp4

01. Basics of Machine Learning/8. Types of Machine Learning Models - Classification, Regression, Clustering etc.mp4

01. Basics of Machine Learning/1. What You Will Learn in This Section.mp4

01. Basics of Machine Learning/3. Important Message About Udemy Reviews.mp4

03. Data Processing/1. [Hands On] - Data Input-Output - Upload Data.mp4

04. Classification/13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.mp4

08. Clustering/3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.mp4

09. Data Processing - Solving Data Processing Challenges/5. [Hands On] - Outliers Treatment - Clip Values.mp4

11. Recommendation System/6. Understanding the Matchbox Recommendation Results.mp4

07. Regression Analysis/10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.mp4

06. Deploy Webservice/3. [Hands On] - Use the Web Service - Example of Excel.mp4

09. Data Processing - Solving Data Processing Challenges/7. [Hands On] - Clean Missing Data with MICE.mp4

09. Data Processing - Solving Data Processing Challenges/9. [Hands On] - SMOTE.mp4

11. Recommendation System/2. Data Preparation using Recommender Split.mp4

11. Recommendation System/3. What is Matchbox Recommender and Train Matchbox Recommender.mp4

04. Classification/7. Decision Tree - What is Decision Tree.mp4

09. Data Processing - Solving Data Processing Challenges/8. SMOTE - Create New Synthetic Observations.mp4

07. Regression Analysis/1. What is Linear Regression.mp4

04. Classification/15. [Hands On] - SVM - Adult Census Income Prediction.mp4

04. Classification/5. Logistic Regression - Model Selection and Impact Analysis.mp4

01. Basics of Machine Learning/6. Understanding various aspects of data - Type, Variables, Category.mp4

02. Getting Started with Azure ML/1. What You Will Learn in This Section.mp4