Download Udemy - Machine Learning Made Easy : Beginner to Advanced using R [Course Drive] Torrent

Torrent Contents Size: 2 GB

Udemy - Machine Learning Made Easy : Beginner to Advanced using R [Course Drive]

Machine Learning Made Easy - Beginner to Advanced using R

1. Introduction to R

1. Getting Started.mp4	MP4	10.21 MB
1. Getting Started.srt	SRT	6.97 KB
1.1 1.R Introuction Class_v2.pdf.pdf	PDF	653.72 KB
1.2 Section 1. R Introduction.R.zip.zip	ZIP	1.53 KB
10. Errors.mp4	MP4	15.29 MB
10. Errors.srt	SRT	11.79 KB
11. Introduction to R quiz.html	HTML	165 B
2. R Environment.mp4	MP4	9.64 MB
2. R Environment.srt	SRT	6.8 KB
3. R Packages.mp4	MP4	11.06 MB
3. R Packages.srt	SRT	5.44 KB
4. R Data types Vectors.mp4	MP4	31.75 MB
4. R Data types Vectors.srt	SRT	14.25 KB
5. R Data Frames.mp4	MP4	26.97 MB
5. R Data Frames.srt	SRT	17.05 KB
6. List.mp4	MP4	21.12 MB
6. List.srt	SRT	13.81 KB
7. Factor and Matrix.mp4	MP4	7.71 MB
7. Factor and Matrix.srt	SRT	4.92 KB
8. R History and Scripts.mp4	MP4	22.09 MB
8. R History and Scripts.srt	SRT	12.69 KB
9. R Functions.mp4	MP4	9.69 MB
9. R Functions.srt	SRT	7.18 KB

10. Support Vector Machines

1. Introduction to SVM.mp4	MP4	3.74 MB
1. Introduction to SVM.srt	SRT	2.11 KB
1.1 Section 10. SVM Datasets.zip.zip	ZIP	4.71 MB
1.2 Section 10. SVM code.R.zip.zip	ZIP	1.75 KB
1.3 10.SVM_in_R_Classv4.pdf.pdf	PDF	1.98 MB
10. SVM Advantage, Disadvantage and Applications.mp4	MP4	4.96 MB
10. SVM Advantage, Disadvantage and Applications.srt	SRT	3.43 KB
11. Lab Digit Reconizer.mp4	MP4	24.81 MB
11. Lab Digit Reconizer.srt	SRT	8.05 KB
12. SVM Conclusion.mp4	MP4	2.02 MB
12. SVM Conclusion.srt	SRT	1.09 KB
13. support vector machine.html	HTML	165 B
2. The Classifier and Decision Boundary.mp4	MP4	11.39 MB
2. The Classifier and Decision Boundary.srt	SRT	6.28 KB
3. SVM- The Large Margin Classifier.mp4	MP4	2.92 MB
3. SVM- The Large Margin Classifier.srt	SRT	1.71 KB
4. The SVM Alogirithm and Results.mp4	MP4	7.09 MB
4. The SVM Alogirithm and Results.srt	SRT	4.57 KB
5. SVM on R.mp4	MP4	11.55 MB
5. SVM on R.srt	SRT	4.99 KB
6. Non Linear Boundary.mp4	MP4	6.53 MB
6. Non Linear Boundary.srt	SRT	4.01 KB
7. Kernal Trick.mp4	MP4	10.87 MB
7. Kernal Trick.srt	SRT	7.2 KB
8. Kernal Trick on R.mp4	MP4	17.61 MB
8. Kernal Trick on R.srt	SRT	7.16 KB
9. Soft Margin and Validation.mp4	MP4	6.39 MB
9. Soft Margin and Validation.srt	SRT	4.46 KB

11. Ensamble Learning, Random Forest and Boosting

1. Introduction to Bagging RF Boosting.mp4	MP4	1.42 MB
1. Introduction to Bagging RF Boosting.srt	SRT	967 B
1.1 11.2.Basic Boosted Models.pdf.pdf	PDF	910.47 KB
1.2 11.1.Basic Ensemble Models & Random Forests_R _v2.pdf.pdf	PDF	910.58 KB
1.3 Section 11. Random Forest Datasets.zip.zip	ZIP	17.64 MB
1.4 Section 11. Random Forest code.R.zip.zip	ZIP	2.14 KB
10. Boosting Illustration.mp4	MP4	14.77 MB
10. Boosting Illustration.srt	SRT	10.46 KB
11. Boosting Lab.mp4	MP4	29.33 MB
11. Boosting Lab.srt	SRT	11.84 KB
12. Conclusion.mp4	MP4	7.1 MB
12. Conclusion.srt	SRT	4.73 KB
13. Random forest and boosting.html	HTML	165 B
2. Wisdom of Crowd.mp4	MP4	10.44 MB
2. Wisdom of Crowd.srt	SRT	7.48 KB
3. Ensemble Learning.mp4	MP4	10.98 MB
3. Ensemble Learning.srt	SRT	6.64 KB
4. Ensamble Models.mp4	MP4	11.53 MB
4. Ensamble Models.srt	SRT	7.06 KB
5. Bagging.mp4	MP4	14.34 MB
5. Bagging.srt	SRT	9.28 KB
6. Bagging Models.mp4	MP4	16.53 MB
6. Bagging Models.srt	SRT	7.43 KB
7. Random Forest.mp4	MP4	22.15 MB
7. Random Forest.srt	SRT	13.95 KB
8. Random Forest Lab.mp4	MP4	13.1 MB
8. Random Forest Lab.srt	SRT	6.15 KB
9. Boosting.mp4	MP4	13.19 MB
9. Boosting.srt	SRT	8.82 KB

12. Cluster Analysis

1. Introduction to Clustering via Segmentation.mp4	MP4	16.53 MB
1. Introduction to Clustering via Segmentation.srt	SRT	12.41 KB
1.1 12.Cluster Aalysis in R Class V3.pdf.pdf	PDF	1.28 MB
1.2 Section 12. Cluster Analysis DataSets.zip.zip	ZIP	34.32 KB
1.3 Section 12. Cluster Analysis Code_v3.R.zip.zip	ZIP	1.49 KB
10. Clustering Conclusion.mp4	MP4	4.13 MB
10. Clustering Conclusion.srt	SRT	3.52 KB
11. Cluster Analysis.html	HTML	165 B
2. Types of Cluster.mp4	MP4	7.74 MB
2. Types of Cluster.srt	SRT	6.33 KB
3. Similiarities and Dissimilarity.mp4	MP4	11.07 MB
3. Similiarities and Dissimilarity.srt	SRT	8.89 KB
4. Calculating the Distance.mp4	MP4	8.12 MB
4. Calculating the Distance.srt	SRT	7.12 KB
5. Calculating Distance in R.mp4	MP4	10.2 MB
5. Calculating Distance in R.srt	SRT	6.98 KB
6. Clustering Algorithms- Kmeans.mp4	MP4	21.99 MB
6. Clustering Algorithms- Kmeans.srt	SRT	16.1 KB
7. Kmeans Clustering on R.mp4	MP4	26.15 MB
7. Kmeans Clustering on R.srt	SRT	14.1 KB
8. More on Kmeans.mp4	MP4	25.7 MB
8. More on Kmeans.srt	SRT	14.2 KB
9. Data Standardisation and Non-numeric Data.mp4	MP4	21.72 MB
9. Data Standardisation and Non-numeric Data.srt	SRT	16.68 KB

2. Data Handling in R

1. Introduction to Data Handling.mp4	MP4	2.63 MB
1. Introduction to Data Handling.srt	SRT	2.17 KB
1.1 Section 2.R Data Handling.R.zip.zip	ZIP	2.65 KB
1.2 2. R DataHandling_Class_v1.pdf.pdf	PDF	521.6 KB
1.3 Section 2. Data Handling Dataset.zip.zip	ZIP	40.58 MB
10. Data handling quiz.html	HTML	165 B
2. Importing the Datasets.mp4	MP4	12.31 MB
2. Importing the Datasets.srt	SRT	9.26 KB
3. Checklist.mp4	MP4	12.07 MB
3. Checklist.srt	SRT	7.66 KB
4. Subsetting the Data.mp4	MP4	10.08 MB
4. Subsetting the Data.srt	SRT	6.44 KB
5. Subsetting Variable Condition.mp4	MP4	14.99 MB
5. Subsetting Variable Condition.srt	SRT	7.49 KB
6. Calculated Fields_ifelse.mp4	MP4	15.8 MB
6. Calculated Fields_ifelse.srt	SRT	10.33 KB
7. Sorting and Duplicates.mp4	MP4	21.67 MB
7. Sorting and Duplicates.srt	SRT	13.22 KB
8. Joining and Merging.mp4	MP4	12.01 MB
8. Joining and Merging.srt	SRT	7.5 KB
9. Exporting the Data.mp4	MP4	8.58 MB
9. Exporting the Data.srt	SRT	4.46 KB

3. Basic Statistics and Graph

1. Introduction and Sampling.mp4	MP4	6.41 MB
1. Introduction and Sampling.srt	SRT	5.46 KB
1.1 3. R Basic Statistics Graphs and Reporting_Class_v2 .pdf.pdf	PDF	627.91 KB
1.2 Section 3. R Basic Statistics Dataset.zip.zip	ZIP	37.16 MB
1.3 Section 3. R Basic Statistics Graphs and Reporting .R.zip.zip	ZIP	1.25 KB
2. Descriptive Statistics.mp4	MP4	18.23 MB
2. Descriptive Statistics.srt	SRT	12.98 KB
3. Percentiles and Quartiles.mp4	MP4	8.57 MB
3. Percentiles and Quartiles.srt	SRT	6.32 KB
4. Box Plots.mp4	MP4	10.23 MB
4. Box Plots.srt	SRT	6.47 KB
5. Creating Graphs and Conclusions.mp4	MP4	16.56 MB
5. Creating Graphs and Conclusions.srt	SRT	9.96 KB
6. Basic Statistics and graph quiz.html	HTML	165 B

4. Data Cleaning and Treatment

1. Introduction to Data Cleaning and Model Building Cycle.mp4	MP4	3.67 MB
1. Introduction to Data Cleaning and Model Building Cycle.srt	SRT	3.08 KB
1.1 Section 4. Datasets.zip.zip	ZIP	2.67 MB
1.2 Section 4. Data Cleaning Preparing data for Analysis_v2.R.zip.zip	ZIP	1.84 KB
1.3 4. R.Data Cleaning Preparing data for Analysis_Class_v1.pdf.pdf	PDF	940.64 KB
10. Step four Treatment-Scenario 1.mp4	MP4	15.48 MB
10. Step four Treatment-Scenario 1.srt	SRT	9.32 KB
11. Step four Treatment-Scenario 2.mp4	MP4	20.93 MB
11. Step four Treatment-Scenario 2.srt	SRT	12.86 KB
12. Data Cleaning Scenario 3.mp4	MP4	11.61 MB
12. Data Cleaning Scenario 3.srt	SRT	7.64 KB
13. Some Other Variables.mp4	MP4	5.23 MB
13. Some Other Variables.srt	SRT	3.57 KB
14. Conclusions.mp4	MP4	3.9 MB
14. Conclusions.srt	SRT	2.87 KB
2. Model Building Cycle.mp4	MP4	12.9 MB
2. Model Building Cycle.srt	SRT	10.66 KB
3. Data Cleaning Case Study.mp4	MP4	13.82 MB
3. Data Cleaning Case Study.srt	SRT	9.69 KB
4. CS lab step one basic content of dataset.mp4	MP4	24.28 MB
4. CS lab step one basic content of dataset.srt	SRT	13.71 KB
5. Variable Level Exploration Catagorical.mp4	MP4	7.78 MB
5. Variable Level Exploration Catagorical.srt	SRT	6.58 KB
6. Reading Data Dictionary.mp4	MP4	25.65 MB
6. Reading Data Dictionary.srt	SRT	13.77 KB
7. Step two Lab Categorical Variable Exploration.mp4	MP4	29.99 MB
7. Step two Lab Categorical Variable Exploration.srt	SRT	16.82 KB
8. Step three Lab Variable Level Exploration Continues.mp4	MP4	28.9 MB
8. Step three Lab Variable Level Exploration Continues.srt	SRT	13.92 KB
9. Data Cleaning and Treatment.mp4	MP4	13.56 MB
9. Data Cleaning and Treatment.srt	SRT	10.4 KB

5. Linear Regression

1. Introduction and Correlation.mp4	MP4	27.31 MB
1. Introduction and Correlation.srt	SRT	5.49 KB
1.1 Section 5. Regression Datasets.zip.zip	ZIP	17.6 KB
1.2 Section 5. Regression code.R.zip.zip	ZIP	1.4 KB
1.3 5.Regression_in_R_Classv1.pdf.pdf	PDF	1.97 MB
10. Multicollinearity.mp4	MP4	22.75 MB
10. Multicollinearity.srt	SRT	17.15 KB
11. Regression Conclusion.mp4	MP4	4.06 MB
11. Regression Conclusion.srt	SRT	2.85 KB
12. Regression Quiz.html	HTML	165 B
2. LBA Correlation Calculation in R.mp4	MP4	8.09 MB
2. LBA Correlation Calculation in R.srt	SRT	6.28 KB
3. Beyond Pearson Correlation.mp4	MP4	5.46 MB
3. Beyond Pearson Correlation.srt	SRT	4.61 KB
4. From Correlation to Regression.mp4	MP4	15.37 MB
4. From Correlation to Regression.srt	SRT	13.34 KB
5. Regression Line Fitting in R.mp4	MP4	14.54 MB
5. Regression Line Fitting in R.srt	SRT	9.99 KB
6. R Squared.mp4	MP4	20.88 MB
6. R Squared.srt	SRT	15.79 KB
7. Multiple Regression.mp4	MP4	17.71 MB
7. Multiple Regression.srt	SRT	12.62 KB
8. Adjusted R Squared.mp4	MP4	7.78 MB
8. Adjusted R Squared.srt	SRT	6.53 KB
9. Issue with Multiple Regression.mp4	MP4	23.93 MB
9. Issue with Multiple Regression.srt	SRT	14.54 KB

6. Logistic Regression

1. Need of Non-Linear Regression.mp4	MP4	24.16 MB
1. Need of Non-Linear Regression.srt	SRT	19.29 KB
1.1 Section 6. Logistic Regression_Code.R.zip.zip	ZIP	1.4 KB
1.2 6.Logistic Regression_in_R_Classv1.pdf.pdf	PDF	967.93 KB
1.3 Section 6. Logistic Regression Datasets.zip.zip	ZIP	492.26 KB
2. Logistic Function and Line.mp4	MP4	16.3 MB
2. Logistic Function and Line.srt	SRT	12.72 KB
3. Multiple Logistic Regression.mp4	MP4	13.43 MB
3. Multiple Logistic Regression.srt	SRT	10.29 KB
4. Goodness of Fit for a Logistic Regression.mp4	MP4	20.63 MB
4. Goodness of Fit for a Logistic Regression.srt	SRT	15.65 KB
5. Multicollinearity in Logistic Regression.mp4	MP4	12.17 MB
5. Multicollinearity in Logistic Regression.srt	SRT	9.53 KB
6. Individual Impact of Variables.mp4	MP4	9.72 MB
6. Individual Impact of Variables.srt	SRT	6.39 KB
7. Model Selection.mp4	MP4	23.69 MB
7. Model Selection.srt	SRT	15.67 KB
8. Logistic Regression Conclusion.mp4	MP4	2.41 MB
8. Logistic Regression Conclusion.srt	SRT	1.86 KB
9. Logistic Regression Quiz.html	HTML	165 B

7. Decision Tree

1. Introduction to Decision Tree and Segmentation.mp4	MP4	11.07 MB
1. Introduction to Decision Tree and Segmentation.srt	SRT	8.75 KB
1.1 Section 7. Decision Tree Datasets.zip.zip	ZIP	575.86 KB
1.2 Section 7. Decision Trees code.R.zip.zip	ZIP	1.28 KB
1.3 7.Decision_Trees_in_R_Classv1.pdf.pdf	PDF	2 MB
10. Choosing Cp & Cross Validation Error.mp4	MP4	23.79 MB
10. Choosing Cp & Cross Validation Error.srt	SRT	13.23 KB
11. Two Types of Pruning.mp4	MP4	6.95 MB
11. Two Types of Pruning.srt	SRT	3.32 KB
12. Tree Building and Model Selection.mp4	MP4	37.09 MB
12. Tree Building and Model Selection.srt	SRT	17.92 KB
13. Conclusion.mp4	MP4	3.43 MB
13. Conclusion.srt	SRT	2.59 KB
14. Decision Trees Quiz.html	HTML	165 B
2. The Decision Tree Philosophy & The Decision Tree Approach.mp4	MP4	25.4 MB
2. The Decision Tree Philosophy & The Decision Tree Approach.srt	SRT	18.69 KB
3. The Splitting Criterion & Entropy Calculation.mp4	MP4	27.8 MB
3. The Splitting Criterion & Entropy Calculation.srt	SRT	18.79 KB
4. Information Gain & Calculation.mp4	MP4	15.96 MB
4. Information Gain & Calculation.srt	SRT	11.37 KB
5. The Decision Tree Algorithm.mp4	MP4	18.66 MB
5. The Decision Tree Algorithm.srt	SRT	15.34 KB
6. Split for Variable & The Decision Tree Lab - Part 1.mp4	MP4	28.54 MB
6. Split for Variable & The Decision Tree Lab - Part 1.srt	SRT	18.55 KB
7. The Decision Tree Lab - Part 2 & Validation.mp4	MP4	27.41 MB
7. The Decision Tree Lab - Part 2 & Validation.srt	SRT	16.61 KB
8. The Decision Tree Lab - Part 3 & Overfitting.mp4	MP4	36.69 MB
8. The Decision Tree Lab - Part 3 & Overfitting.srt	SRT	20.08 KB
9. Pruning & Complexity Parameters.mp4	MP4	9.93 MB
9. Pruning & Complexity Parameters.srt	SRT	6.43 KB

8. Model Selection and Cross Validation

1. Introduction to Model Selection.mp4	MP4	3.47 MB
1. Introduction to Model Selection.srt	SRT	2.64 KB
1.1 Section 8. Model Selection Cross Validation_v3.R.zip.zip	ZIP	1.78 KB
1.2 8. Model Selection and Cross Validation_in_R_Classv3.pdf.pdf	PDF	1.93 MB
1.3 Section 8. MSCV Datasets.zip.zip	ZIP	492.26 KB
10. Ten fold CV.mp4	MP4	23.64 MB
10. Ten fold CV.srt	SRT	12.18 KB
11. Kfold CV.mp4	MP4	18.32 MB
11. Kfold CV.srt	SRT	11.16 KB
12. MSCV Conclusion.mp4	MP4	3.15 MB
12. MSCV Conclusion.srt	SRT	2.31 KB
13. Model selection cross validation Quiz.html	HTML	165 B
2. Sensitivity Specificity.mp4	MP4	19.12 MB
2. Sensitivity Specificity.srt	SRT	12.37 KB
3. Sensitivity Specificity Continued.mp4	MP4	18.44 MB
3. Sensitivity Specificity Continued.srt	SRT	12.86 KB
4. ROC AUC.mp4	MP4	22.46 MB
4. ROC AUC.srt	SRT	11.32 KB
5. The Best Model.mp4	MP4	9.6 MB
5. The Best Model.srt	SRT	4.96 KB
6. Errors.mp4	MP4	10.07 MB
6. Errors.srt	SRT	7.38 KB
7. Overfitting Underfitting.mp4	MP4	28.5 MB
7. Overfitting Underfitting.srt	SRT	14.87 KB
8. Bias_Variance Treadoff.mp4	MP4	16.83 MB
8. Bias_Variance Treadoff.srt	SRT	11.39 KB
9. Holdout Data Validation.mp4	MP4	12.27 MB
9. Holdout Data Validation.srt	SRT	5.7 KB

9. Neural Networks

1. Introduction and Logistic Regression Recap.mp4	MP4	16.05 MB
1. Introduction and Logistic Regression Recap.srt	SRT	8.93 KB
1.1 Section 9. Neural Net Datasets.zip.zip	ZIP	4.34 MB
1.2 9.Neural Network_in_R_Classv2.pdf.pdf	PDF	3.25 MB
1.3 Section 9.Neural Network_v7.R.zip.zip	ZIP	3.17 KB
10. Digit Recognizer second attempt part1.mp4	MP4	11.77 MB
10. Digit Recognizer second attempt part1.srt	SRT	4.83 KB
11. Digit Recognizer second attempt part2.mp4	MP4	18.22 MB
11. Digit Recognizer second attempt part2.srt	SRT	8.71 KB
12. Lab Digit Reconizer.mp4	MP4	11.13 MB
12. Lab Digit Reconizer.srt	SRT	4.52 KB
13. Conclusion.mp4	MP4	11.17 MB
13. Conclusion.srt	SRT	6.07 KB
14. Neural Networks.html	HTML	165 B
2. Decision Boundary.mp4	MP4	6.39 MB
2. Decision Boundary.srt	SRT	3.53 KB
3. Non Linear Decision Boundary NN.mp4	MP4	14.16 MB
3. Non Linear Decision Boundary NN.srt	SRT	7.8 KB
4. Non Linear Decision Boundary and Solution.mp4	MP4	28.44 MB
4. Non Linear Decision Boundary and Solution.srt	SRT	12.77 KB
5. Neural Net Intution.mp4	MP4	13.72 MB
5. Neural Net Intution.srt	SRT	9.35 KB
6. Neural Net Algorithm.mp4	MP4	12.32 MB
6. Neural Net Algorithm.srt	SRT	9.33 KB
7. Neural Net Algorithm Demo.mp4	MP4	11.74 MB
7. Neural Net Algorithm Demo.srt	SRT	7.69 KB
8. Building a Neural Network.mp4	MP4	24.58 MB
8. Building a Neural Network.srt	SRT	12.44 KB
9. Local Vs Global Min.mp4	MP4	10.1 MB
9. Local Vs Global Min.srt	SRT	6.19 KB

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Udemy - Machine Learning Made Easy : Beginner to Advanced using R [Course Drive]

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