| 7. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.mp4 | 91.03 MB |
| 12. Text Analytics and Natural Language Processing/5. [Hands On] - Classify Customer Complaints using Text Analytics.mp4 | 87.43 MB |
| 12. Text Analytics and Natural Language Processing/4. Feature Hashing.mp4 | 75.17 MB |
| 1. Basics of Machine Learning/4. Why Machine Learning is the Future.mp4 | 68.71 MB |
| 10. Feature Selection - Select a..highest impact/9. [Hands On] - Fisher Based LDA - Experiment.mp4 | 61.14 MB |
| 12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.mp4 | 54.61 MB |
| 4. Classification/2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.mp4 | 52.2 MB |
| 3. Data Processing/1. [Hands On] - Data Input-Output - Upload Data.mp4 | 50.99 MB |
| 13. Thank You and Bonus Lecture/1. Way Forward.mp4 | 49.99 MB |
| 12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.mp4 | 49.96 MB |
| 10. Feature Selection - Select a..highest impact/2. Pearson Correlation Coefficient.mp4 | 47.22 MB |
| 12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.mp4 | 44.84 MB |
| 3. Data Processing/5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.mp4 | 38.91 MB |
| 11. Recommendation System/5. [Hands On] - Restaurant Recommendation Experiment.mp4 | 36.18 MB |
| 3. Data Processing/6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.mp4 | 35.52 MB |
| 4. Classification/12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.mp4 | 35.09 MB |
| 11. Recommendation System/1. What is a Recommendation System.mp4 | 34.96 MB |
| 8. Clustering/2. [Hands On] - Cluster Analysis Experiment 1.mp4 | 30.92 MB |
| 4. Classification/1. Logistic Regression - What is Logistic Regression.mp4 | 30.67 MB |
| 4. Classification/4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4 | 29.41 MB |
| 7. Regression Analysis/5. Gradient Descent.mp4 | 27.67 MB |
| 3. Data Processing/4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.mp4 | 26.46 MB |
| 4. Classification/10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.mp4 | 25.16 MB |
| 10. Feature Selection - Select a..highest impact/8. Fisher Based LDA - Intuition.mp4 | 24.08 MB |
| 2. Getting Started with Azure ML/2. What is Azure ML and high level architecture..mp4 | 23.21 MB |
| 8. Clustering/1. What is Cluster Analysis.mp4 | 22.38 MB |
| 3. Data Processing/2. [Hands On] - Data Input-Output - Convert and Unpack.mp4 | 22.08 MB |
| 5. Hyperparameter Tuning/1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.mp4 | 21.92 MB |
| 4. Classification/6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.mp4 | 19.66 MB |
| 4. Classification/3. Logistic Regression - Understand Parameters and Their Impact.mp4 | 19.54 MB |
| 1. Basics of Machine Learning/3. Important Message About Udemy Reviews.mp4 | 19.24 MB |
| 1. Basics of Machine Learning/1. What You Will Learn in This Section.mp4 | 19.19 MB |
| 1. Basics of Machine Learning/8. Types of Machine Learning Models - Classification, Regression, Clustering etc.mp4 | 19.04 MB |
| 4. Classification/13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.mp4 | 18.57 MB |
| 1. Basics of Machine Learning/5. What is Machine Learning.mp4 | 18.49 MB |
| 8. Clustering/3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.mp4 | 18.36 MB |
| 9. Data Processing - Solving Data Processing Challenges/5. [Hands On] - Outliers Treatment - Clip Values.mp4 | 17.65 MB |
| 11. Recommendation System/6. Understanding the Matchbox Recommendation Results.mp4 | 17.44 MB |
| 7. Regression Analysis/10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.mp4 | 17.28 MB |
| 6. Deploy Webservice/3. [Hands On] - Use the Web Service - Example of Excel.mp4 | 16.58 MB |
| 9. Data Processing - Solving Data Processing Challenges/7. [Hands On] - Clean Missing Data with MICE.mp4 | 15.91 MB |
| 9. Data Processing - Solving Data Processing Challenges/9. [Hands On] - SMOTE.mp4 | 15.54 MB |
| 9. Data Processing - Solving Data Processing Challenges/15. [Hands On] - Join Data - Experiment.mp4 | 15.11 MB |
| 11. Recommendation System/2. Data Preparation using Recommender Split.mp4 | 14.92 MB |
| 4. Classification/14. SVM - What is Support Vector Machine.mp4 | 14.9 MB |
| 11. Recommendation System/3. What is Matchbox Recommender and Train Matchbox Recommender.mp4 | 14.56 MB |
| 4. Classification/7. Decision Tree - What is Decision Tree.mp4 | 14.34 MB |
| 9. Data Processing - Solving Data Processing Challenges/8. SMOTE - Create New Synthetic Observations.mp4 | 14.21 MB |
| 7. Regression Analysis/1. What is Linear Regression.mp4 | 14.04 MB |
| 4. Classification/15. [Hands On] - SVM - Adult Census Income Prediction.mp4 | 13.83 MB |