Complete Machine Learning with R Studio - ML for 2021

Creation Time	Dec. 27, 2024, 4:21 p.m.
Last Access Time	Jan. 4, 2025, 9:08 p.m.
File Size	5.9 GB
Keywords	Complete for ML - Machine R Studio 2021 Learning with
Total Requests	3
Total Files	147
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18 Ensemble technique 3 - GBM, AdaBoost and XGBoost/004 XGBoosting in R.mp4 186.5 MB
22 Creating Support Vector Machine Model in R/005 Classification SVM model using Linear Kernel.mp4 166.9 MB
07 Regression models other than OLS/005 Ridge regression and Lasso in R.mp4 124.0 MB
22 Creating Support Vector Machine Model in R/010 SVM based Regression Model in R.mp4 124.0 MB
04 Intorduction to Machine Learning/001 Introduction to Machine Learning.mp4 123.3 MB
14 Simple Decision Trees/008 Building a Regression Tree in R.mp4 121.9 MB
02 Setting up R Studio and R crash course/008 Creating Barplots in R.mp4 117.2 MB
05 Data Preprocessing for Regression Analysis/012 Bi-variate Analysis and Variable Transformation.mp4 113.1 MB
05 Data Preprocessing for Regression Analysis/006 EDD in R.mp4 112.0 MB
06 Linear Regression Model/003 Assessing Accuracy of predicted coefficients.mp4 103.9 MB
18 Ensemble technique 3 - GBM, AdaBoost and XGBoost/003 AdaBoosting in R.mp4 103.0 MB
15 Simple Classification Tree/003 Building a classification Tree in R.mp4 100.1 MB
22 Creating Support Vector Machine Model in R/007 Polynomial Kernel with Hyperparameter Tuning.mp4 98.7 MB
02 Setting up R Studio and R crash course/004 Packages in R.mp4 98.5 MB
14 Simple Decision Trees/010 Pruning a Tree in R.mp4 97.0 MB
05 Data Preprocessing for Regression Analysis/018 Correlation Matrix in R.mp4 94.9 MB
06 Linear Regression Model/013 Test-Train Split in R.mp4 90.9 MB
12 K-Nearest Neighbors/002 Test-Train Split in R.mp4 90.2 MB
11 Linear Discriminant Analysis/002 Linear Discriminant Analysis in R.mp4 89.5 MB
08 Classification Models_ Data Preparation/001 The Data and the Data Dictionary.mp4 87.4 MB
07 Regression models other than OLS/002 Subset Selection techniques.mp4 86.7 MB
12 K-Nearest Neighbors/003 K-Nearest Neighbors classifier.mp4 83.3 MB
05 Data Preprocessing for Regression Analysis/017 Correlation Matrix and cause-effect relationship.mp4 80.8 MB
12 K-Nearest Neighbors/004 K-Nearest Neighbors in R.mp4 79.6 MB
18 Ensemble technique 3 - GBM, AdaBoost and XGBoost/002 Gradient Boosting in R.mp4 78.6 MB
05 Data Preprocessing for Regression Analysis/003 The Data and the Data Dictionary.mp4 78.3 MB
08 Classification Models_ Data Preparation/003 EDD in R.mp4 77.8 MB
07 Regression models other than OLS/003 Subset selection in R.mp4 76.6 MB
06 Linear Regression Model/009 Multiple Linear Regression in R.mp4 72.8 MB
22 Creating Support Vector Machine Model in R/006 Hyperparameter Tuning for Linear Kernel.mp4 70.4 MB
16 Ensemble technique 1 - Bagging/002 Bagging in R.mp4 69.3 MB
02 Setting up R Studio and R crash course/007 Inputting data part 3_ Importing from CSV or Text files.mp4 69.0 MB
05 Data Preprocessing for Regression Analysis/013 Variable transformation in R.mp4 67.6 MB
22 Creating Support Vector Machine Model in R/008 Radial Kernel with Hyperparameter Tuning.mp4 67.4 MB
10 Logistic Regression/008 Predicting probabilities, assigning classes and making Confusion Matrix in R.mp4 66.1 MB
03 Basics of Statistics/003 Describing the data graphically.mp4 65.4 MB
22 Creating Support Vector Machine Model in R/003 Importing Data into R.mp4 65.3 MB
20 Support Vector Classifier/001 Support Vector classifiers.mp4 64.1 MB
06 Linear Regression Model/007 The F - statistic.mp4 63.8 MB
22 Creating Support Vector Machine Model in R/004 Test-Train Split.mp4 59.4 MB
14 Simple Decision Trees/007 Splitting Data into Test and Train Set in R.mp4 52.6 MB
08 Classification Models_ Data Preparation/007 Dummy variable creation in R.mp4 52.5 MB
05 Data Preprocessing for Regression Analysis/016 Dummy variable creation in R.mp4 52.2 MB
14 Simple Decision Trees/002 Understanding a Regression Tree.mp4 52.2 MB
14 Simple Decision Trees/006 Importing the Data set into R.mp4 51.8 MB
02 Setting up R Studio and R crash course/009 Creating Histograms in R.mp4 51.3 MB
14 Simple Decision Trees/001 Basics of Decision Trees.mp4 50.6 MB
06 Linear Regression Model/005 Simple Linear Regression in R.mp4 50.5 MB
06 Linear Regression Model/002 Basic equations and Ordinary Least Squared (OLS) method.mp4 49.9 MB
06 Linear Regression Model/004 Assessing Model Accuracy - RSE and R squared.mp4 49.5 MB
06 Linear Regression Model/010 Test-Train split.mp4 48.8 MB
11 Linear Discriminant Analysis/001 Linear Discriminant Analysis.mp4 48.4 MB
02 Setting up R Studio and R crash course/003 Basics of R and R studio.mp4 48.0 MB
08 Classification Models_ Data Preparation/006 Variable transformation in R.mp4 46.5 MB
02 Setting up R Studio and R crash course/005 Inputting data part 1_ Inbuilt datasets of R.mp4 46.1 MB
13 Comparing results from 3 models/001 Understanding the results of classification models.mp4 45.8 MB
21 Support Vector Machines/001 Kernel Based Support Vector Machines.mp4 45.7 MB
12 K-Nearest Neighbors/001 Test-Train Split.mp4 45.4 MB
04 Intorduction to Machine Learning/002 Building a Machine Learning Model.mp4 44.9 MB
10 Logistic Regression/007 Evaluating Model performance.mp4 42.5 MB
14 Simple Decision Trees/004 The Data set for this part.mp4 42.0 MB
22 Creating Support Vector Machine Model in R/009 The Data set for the Regression problem.mp4 41.8 MB
02 Setting up R Studio and R crash course/001 Installing R and R studio.mp4 40.8 MB
05 Data Preprocessing for Regression Analysis/015 Dummy variable creation_ Handling qualitative data.mp4 40.5 MB
10 Logistic Regression/001 Logistic Regression.mp4 38.8 MB
06 Linear Regression Model/006 Multiple Linear Regression.mp4 38.7 MB
03 Basics of Statistics/004 Measures of Centers.mp4 38.5 MB
07 Regression models other than OLS/004 Shrinkage methods - Ridge Regression and The Lasso.mp4 38.4 MB
05 Data Preprocessing for Regression Analysis/008 Outlier Treatment in R.mp4 37.8 MB
17 Ensemble technique 2 - Random Forest/002 Random Forest in R.mp4 37.4 MB
19 Maximum Margin Classifier/002 The Concept of a Hyperplane.mp4 35.3 MB
18 Ensemble technique 3 - GBM, AdaBoost and XGBoost/001 Boosting techniques.mp4 34.4 MB
15 Simple Classification Tree/001 Classification Trees.mp4 33.0 MB
16 Ensemble technique 1 - Bagging/001 Bagging.mp4 32.3 MB
05 Data Preprocessing for Regression Analysis/010 Missing Value imputation in R.mp4 31.7 MB
08 Classification Models_ Data Preparation/004 Outlier Treatment in R.mp4 31.2 MB
10 Logistic Regression/002 Training a Simple Logistic model in R.mp4 31.0 MB
10 Logistic Regression/003 Results of Simple Logistic Regression.mp4 30.9 MB
02 Setting up R Studio and R crash course/006 Inputting data part 2_ Manual data entry.mp4 30.8 MB
06 Linear Regression Model/011 Bias Variance trade-off.mp4 29.4 MB
05 Data Preprocessing for Regression Analysis/007 Outlier Treatment.mp4 27.7 MB
05 Data Preprocessing for Regression Analysis/009 Missing Value imputation.mp4 27.4 MB
05 Data Preprocessing for Regression Analysis/005 Univariate Analysis and EDD.mp4 27.2 MB
06 Linear Regression Model/008 Interpreting result for categorical Variable.mp4 26.9 MB
10 Logistic Regression/006 Confusion Matrix.mp4 26.6 MB
19 Maximum Margin Classifier/003 Maximum Margin Classifier.mp4 26.2 MB
13 Comparing results from 3 models/002 Summary of the three models.mp4 25.1 MB
05 Data Preprocessing for Regression Analysis/001 Gathering Business Knowledge.mp4 25.0 MB
05 Data Preprocessing for Regression Analysis/014 Non Usable Variables.mp4 23.7 MB
08 Classification Models_ Data Preparation/005 Missing Value imputation in R.mp4 23.4 MB
05 Data Preprocessing for Regression Analysis/002 Data Exploration.mp4 23.3 MB
03 Basics of Statistics/005 Measures of Dispersion.mp4 22.8 MB
09 The Three classification models/001 Three Classifiers and the problem statement.mp4 22.8 MB
14 Simple Decision Trees/009 Pruning a tree.mp4 22.2 MB
22 Creating Support Vector Machine Model in R/001 The Data set for the Classification problem.mp4 22.0 MB
15 Simple Classification Tree/002 The Data set for Classification problem.mp4 21.9 MB
03 Basics of Statistics/001 Types of Data.mp4 21.8 MB
17 Ensemble technique 2 - Random Forest/001 Random Forest technique.mp4 21.4 MB
01 Welcome to the course/001 Introduction.mp4 21.2 MB
05 Data Preprocessing for Regression Analysis/011 Seasonality in Data.mp4 20.8 MB
02 Setting up R Studio and R crash course/002 This is a milestone!.mp4 20.7 MB
09 The Three classification models/002 Why can't we use Linear Regression_.mp4 20.2 MB
07 Regression models other than OLS/001 Linear models other than OLS.mp4 19.0 MB
10 Logistic Regression/005 Training multiple predictor Logistic model in R.mp4 18.3 MB
14 Simple Decision Trees/003 The stopping criteria for controlling tree growth.mp4 16.5 MB
08 Classification Models_ Data Preparation/002 Importing the dataset into R.mp4 16.3 MB
05 Data Preprocessing for Regression Analysis/004 Importing the dataset into R.mp4 15.9 MB
20 Support Vector Classifier/002 Limitations of Support Vector Classifiers.mp4 13.0 MB
19 Maximum Margin Classifier/004 Limitations of Maximum Margin Classifier.mp4 12.5 MB
23 Conclusion/001 The final milestone!.mp4 11.9 MB
03 Basics of Statistics/002 Types of Statistics.mp4 10.9 MB
06 Linear Regression Model/001 The problem statement.mp4 10.6 MB
10 Logistic Regression/004 Logistic with multiple predictors.mp4 9.9 MB
19 Maximum Margin Classifier/001 Content flow.mp4 9.8 MB
15 Simple Classification Tree/004 Advantages and Disadvantages of Decision Trees.mp4 7.8 MB
22 Creating Support Vector Machine Model in R/Files/06_SVM.pdf 360.4 KB
14 Simple Decision Trees/Files/00_Intro.pdf 334.9 KB
22 Creating Support Vector Machine Model in R/Files/00000_Intro.pdf 334.9 KB
22 Creating Support Vector Machine Model in R/Files/03_Max_Mar_Class_LIMIT.pdf 328.7 KB
14 Simple Decision Trees/Files/07_Bagging.pdf 303.7 KB
22 Creating Support Vector Machine Model in R/Files/02_Max_Mar_Class.pdf 287.9 KB
14 Simple Decision Trees/Files/05_Prune.pdf 228.5 KB
14 Simple Decision Trees/Files/03_Concepts.pdf 221.7 KB
14 Simple Decision Trees/Files/06_Decision Tree - Class.pdf 209.2 KB
14 Simple Decision Trees/Files/02_Decision Tree.pdf 205.8 KB
22 Creating Support Vector Machine Model in R/Files/05_Support_vec_class_LIMIT.pdf 198.7 KB
22 Creating Support Vector Machine Model in R/Files/04_support_v_class.pdf 189.0 KB
14 Simple Decision Trees/Files/09_Boosting.pdf 178.0 KB
14 Simple Decision Trees/Files/08_Random_Forest.pdf 168.4 KB
14 Simple Decision Trees/Files/01_basics.pdf 166.0 KB
14 Simple Decision Trees/Files/04_Stop_condition.pdf 154.8 KB
14 Simple Decision Trees/Files/10_Adv_disadv.pdf 145.5 KB
22 Creating Support Vector Machine Model in R/Files/01_SVM_flow.pdf 143.9 KB
02 Setting up R Studio and R crash course/009 Product.txt 139.5 KB
02 Setting up R Studio and R crash course/009 Customer.csv 64.0 KB
14 Simple Decision Trees/Files/Movie_classification.csv 54.3 KB
22 Creating Support Vector Machine Model in R/Files/Movie_classification.csv 54.3 KB
14 Simple Decision Trees/Files/Movie_regression.csv 53.3 KB
22 Creating Support Vector Machine Model in R/Files/Movie_regression.csv 53.3 KB
14 Simple Decision Trees/Files/tree_R.R 7.5 KB
22 Creating Support Vector Machine Model in R/Files/SVM_R.R 3.0 KB
23 Conclusion/002 Congratulations & About your certificate.html 2.7 KB
06 Linear Regression Model/012 More about test-train split.html 1.4 KB
01 Welcome to the course/002 Course Resources.html 1.2 KB
14 Simple Decision Trees/005 Course resources_ Notes and Datasets.html 990 bytes
22 Creating Support Vector Machine Model in R/002 Course resources_ Notes and Datasets.html 963 bytes
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Complete Machine Learning with R Studio - ML for 2021

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