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[FTUForum.com] [UDEMY] A-Z Machine Learning using Azure Machine Learning (AzureML) [FTU]
magnet:?xt=urn:btih:61135eaeec9e31ec14f7e260ca621b96af026ad9&dn=[FTUForum.com] [UDEMY] A-Z Machine Learning using Azure Machine Learning (AzureML) [FTU]
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Hash值:
61135eaeec9e31ec14f7e260ca621b96af026ad9
点击数:
142
文件大小:
1.85 GB
文件数量:
87
创建日期:
2020-6-16 13:53
最后访问:
2024-9-13 19:36
访问标签:
FTUForum
com
UDEMY
A-Z
Machine
Learning
using
Azure
Machine
Learning
AzureML
FTU
文件列表详情
01. Basics of Machine Learning/1. What You Will Learn in This Section.mp4 18.92 MB
01. Basics of Machine Learning/3. Important Message About Udemy Reviews.mp4 18.91 MB
01. Basics of Machine Learning/4. Why Machine Learning is the Future.mp4 68.72 MB
01. Basics of Machine Learning/5. What is Machine Learning.mp4 54.73 MB
01. Basics of Machine Learning/6. Understanding various aspects of data - Type, Variables, Category.mp4 13.61 MB
01. Basics of Machine Learning/7. Common Machine Learning Terms - Probability, Mean, Mode, Median, Range.mp4 13.31 MB
01. Basics of Machine Learning/8. Types of Machine Learning Models - Classification, Regression, Clustering etc.mp4 19.04 MB
02. Getting Started with Azure ML/1. What You Will Learn in This Section.mp4 13.33 MB
02. Getting Started with Azure ML/2. What is Azure ML and high level architecture..mp4 22.86 MB
02. Getting Started with Azure ML/3. Creating a Free Azure ML Account.mp4 5.42 MB
02. Getting Started with Azure ML/4. Azure ML Studio Overview and walk-through.mp4 12.17 MB
02. Getting Started with Azure ML/5. Azure ML Experiment Workflow.mp4 13.22 MB
02. Getting Started with Azure ML/6. Azure ML Cheat Sheet for Model Selection.mp4 11.27 MB
03. Data Processing/1. [Hands On] - Data Input-Output - Upload Data.mp4 18.57 MB
03. Data Processing/2. [Hands On] - Data Input-Output - Convert and Unpack.mp4 22.09 MB
03. Data Processing/3. [Hands On] - Data Input-Output - Import Data.mp4 13.12 MB
03. Data Processing/4. [Hands On] -Data Transform - Add RowsColumns, Remove Duplicates, Select Columns.mp4 26.47 MB
03. Data Processing/5. [Hands On] - Apply SQL Transformation, Clean Missing Data, Edit Metadata.mp4 38.91 MB
03. Data Processing/6. [Hands On] - Sample and Split Data - Partition or Sample, Train and Test Data.mp4 35.52 MB
04. Classification/10. [Hands On] Two-Class Boosted Decision Tree - Build Bank Telemarketing Prediction.mp4 25.17 MB
04. Classification/11. Decision Forest - Parameters Explained.mp4 5.79 MB
04. Classification/12. [Hands On] - Two Class Decision Forest - Adult Census Income Prediction.mp4 35.1 MB
04. Classification/13. [Hands On] - Decision Tree - Multi Class Decision Forest IRIS Data.mp4 18.57 MB
04. Classification/14. SVM - What is Support Vector Machine.mp4 7.13 MB
04. Classification/15. [Hands On] - SVM - Adult Census Income Prediction.mp4 13.83 MB
04. Classification/1. Logistic Regression - What is Logistic Regression.mp4 11.48 MB
04. Classification/2. [Hands On] -Logistic Regression - Build Two-Class Loan Approval Prediction Model.mp4 52.21 MB
04. Classification/3. Logistic Regression - Understand Parameters and Their Impact.mp4 19.55 MB
04. Classification/4. Understanding the Confusion Matrix, AUC, Accuracy, Precision, Recall and F1Score.mp4 29.42 MB
04. Classification/5. Logistic Regression - Model Selection and Impact Analysis.mp4 13.77 MB
04. Classification/6. [Hands On] Logistic Regression - Build Multi-Class Wine Quality Prediction Model.mp4 19.67 MB
04. Classification/7. Decision Tree - What is Decision Tree.mp4 14.34 MB
04. Classification/8. Decision Tree - Ensemble Learning - Bagging and Boosting.mp4 12.91 MB
04. Classification/9. Decision Tree - Parameters - Two Class Boosted Decision Tree.mp4 12.1 MB
05. Hyperparameter Tuning/1. [Hands On] - Tune Hyperparameter for Best Parameter Selection.mp4 21.92 MB
06. Deploy Webservice/1. Azure ML Webservice - Prepare the experiment for webservice.mp4 5.56 MB
06. Deploy Webservice/2. [Hands On] - Deploy Machine Learning Model As a Web Service.mp4 9.18 MB
06. Deploy Webservice/3. [Hands On] - Use the Web Service - Example of Excel.mp4 16.58 MB
07. Regression Analysis/10. [Hands On] - Decision Tree - Experiment Boosted Decision Tree.mp4 17.28 MB
07. Regression Analysis/1. What is Linear Regression.mp4 14.03 MB
07. Regression Analysis/2. Regression Analysis - Common Metrics.mp4 12.59 MB
07. Regression Analysis/3. [Hands On] - Linear Regression model using OLS.mp4 91.03 MB
07. Regression Analysis/4. [Hands On] - Linear Regression - R Squared.mp4 10.33 MB
07. Regression Analysis/5. Gradient Descent.mp4 27.66 MB
07. Regression Analysis/6. Linear Regression Online Gradient Descent.mp4 6.71 MB
07. Regression Analysis/7. [Hands On] - Experiment Online Gradient.mp4 10.85 MB
07. Regression Analysis/8. Decision Tree - What is Regression Tree.mp4 12.24 MB
07. Regression Analysis/9. Decision Tree - What is Boosted Decision Tree Regression.mp4 4.32 MB
08. Clustering/1. What is Cluster Analysis.mp4 22.38 MB
08. Clustering/2. [Hands On] - Cluster Analysis Experiment 1.mp4 30.92 MB
08. Clustering/3. [Hands On] - Cluster Analysis Experiment 2 - Score and Evaluate.mp4 18.37 MB
09. Data Processing - Solving Data Processing Challenges/10. Data Normalization - Scale and Reduce.mp4 5.33 MB
09. Data Processing - Solving Data Processing Challenges/11. [Hands On] - Data Normalization.mp4 5.88 MB
09. Data Processing - Solving Data Processing Challenges/12. PCA - What is PCA and Curse of Dimensionality.mp4 10.73 MB
09. Data Processing - Solving Data Processing Challenges/13. [Hands On] - Principal Component Analysis.mp4 7.41 MB
09. Data Processing - Solving Data Processing Challenges/14. Join Data - Join Multiple Datasets based on common keys.mp4 10.48 MB
09. Data Processing - Solving Data Processing Challenges/15. [Hands On] - Join Data - Experiment.mp4 5.56 MB
09. Data Processing - Solving Data Processing Challenges/1. Section Introduction.mp4 5.41 MB
09. Data Processing - Solving Data Processing Challenges/2. How to Summarize Data.mp4 11.7 MB
09. Data Processing - Solving Data Processing Challenges/3. [Hands On] - Summarize Data - Experiment.mp4 8.15 MB
09. Data Processing - Solving Data Processing Challenges/4. Outliers Treatment - Clip Values.mp4 11.49 MB
09. Data Processing - Solving Data Processing Challenges/5. [Hands On] - Outliers Treatment - Clip Values.mp4 17.65 MB
09. Data Processing - Solving Data Processing Challenges/6. Clean Missing Data with MICE.mp4 13.05 MB
09. Data Processing - Solving Data Processing Challenges/7. [Hands On] - Clean Missing Data with MICE.mp4 15.91 MB
09. Data Processing - Solving Data Processing Challenges/8. SMOTE - Create New Synthetic Observations.mp4 14.21 MB
09. Data Processing - Solving Data Processing Challenges/9. [Hands On] - SMOTE.mp4 15.54 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/1. Feature Selection - Section Introduction.mp4 7.73 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/2. Pearson Correlation Coefficient.mp4 47.22 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/3. Chi Square Test of Independence.mp4 8.28 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/4. Kendall Correlation Coefficient.mp4 6.71 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/5. Spearman's Rank Correlation.mp4 6.37 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/6. [Hands On] - Comparison Experiment for Correlation Coefficients.mp4 13.19 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/7. [Hands On] - Filter Based Selection - AzureML Experiment.mp4 6.38 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/8. Fisher Based LDA - Intuition.mp4 24.08 MB
10. Feature Selection - Select a subset of Variables or features with highest impact/9. [Hands On] - Fisher Based LDA - Experiment.mp4 61.14 MB
11. Recommendation System/1. What is a Recommendation System.mp4 34.97 MB
11. Recommendation System/2. Data Preparation using Recommender Split.mp4 14.92 MB
11. Recommendation System/3. What is Matchbox Recommender and Train Matchbox Recommender.mp4 14.56 MB
11. Recommendation System/4. How to Score the Matchbox Recommender.mp4 10.94 MB
11. Recommendation System/5. [Hands On] - Restaurant Recommendation Experiment.mp4 36.18 MB
11. Recommendation System/6. Understanding the Matchbox Recommendation Results.mp4 17.44 MB
12. Text Analytics and Natural Language Processing/1. What is Text Analytics or Natural Language Processing.mp4 40.7 MB
12. Text Analytics and Natural Language Processing/2. Text Pre-Processing.mp4 54.61 MB
12. Text Analytics and Natural Language Processing/3. Bag Of Words and N-Gram Models for Text features.mp4 49.96 MB
12. Text Analytics and Natural Language Processing/4. Feature Hashing.mp4 75.17 MB
12. Text Analytics and Natural Language Processing/5. [Hands On] - Classify Customer Complaints using Text Analytics.mp4 90.99 MB
13. Thank You and Bonus Lecture/1. Way Forward.mp4 49.18 MB
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