Machine Learning Made Easy - Beginner to Advanced using R

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Machine Learning Made Easy - Beginner to Advanced using R

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文件列表

  • Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/1.3 Section 2. Data Handling Dataset.zip.zip 42.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/1.2 Section 3. R Basic Statistics Dataset.zip.zip 39.0 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/12. Tree Building and Model Selection.mp4 38.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/8. The Decision Tree Lab - Part 3 & Overfitting.mp4 38.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/4. R Data types Vectors.mp4 33.3 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/7. Step two Lab Categorical Variable Exploration.mp4 31.4 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/11. Boosting Lab.mp4 30.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/8. Step three Lab Variable Level Exploration Continues.mp4 30.3 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/6. Split for Variable & The Decision Tree Lab - Part 1.mp4 29.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/7. Overfitting Underfitting.mp4 29.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/4. Non Linear Decision Boundary and Solution.mp4 29.8 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/3. The Splitting Criterion & Entropy Calculation.mp4 29.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/7. The Decision Tree Lab - Part 2 & Validation.mp4 28.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/1. Introduction and Correlation.mp4 28.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/5. R Data Frames.mp4 28.3 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/7. Kmeans Clustering on R.mp4 27.4 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/8. More on Kmeans.mp4 26.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/6. Reading Data Dictionary.mp4 26.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/2. The Decision Tree Philosophy & The Decision Tree Approach.mp4 26.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/11. Lab Digit Reconizer.mp4 26.0 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/8. Building a Neural Network.mp4 25.8 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/4. CS lab step one basic content of dataset.mp4 25.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/1. Need of Non-Linear Regression.mp4 25.3 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/9. Issue with Multiple Regression.mp4 25.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/10. Choosing Cp & Cross Validation Error.mp4 24.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/7. Model Selection.mp4 24.8 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/10. Ten fold CV.mp4 24.8 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/10. Multicollinearity.mp4 23.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/4. ROC AUC.mp4 23.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/7. Random Forest.mp4 23.2 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/8. R History and Scripts.mp4 23.2 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/6. Clustering Algorithms- Kmeans.mp4 23.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/9. Data Standardisation and Non-numeric Data.mp4 22.8 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/7. Sorting and Duplicates.mp4 22.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/6. List.mp4 22.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/11. Step four Treatment-Scenario 2.mp4 22.0 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/6. R Squared.mp4 21.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/4. Goodness of Fit for a Logistic Regression.mp4 21.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/2. Sensitivity Specificity.mp4 20.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/5. The Decision Tree Algorithm.mp4 19.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/3. Sensitivity Specificity Continued.mp4 19.3 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/11. Kfold CV.mp4 19.2 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/2. Descriptive Statistics.mp4 19.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/11. Digit Recognizer second attempt part2.mp4 19.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/7. Multiple Regression.mp4 18.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/1.3 Section 11. Random Forest Datasets.zip.zip 18.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/8. Kernal Trick on R.mp4 18.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/8. Bias_Variance Treadoff.mp4 17.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/5. Creating Graphs and Conclusions.mp4 17.4 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/6. Bagging Models.mp4 17.3 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/1. Introduction to Clustering via Segmentation.mp4 17.3 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/2. Logistic Function and Line.mp4 17.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/1. Introduction and Logistic Regression Recap.mp4 16.8 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/4. Information Gain & Calculation.mp4 16.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/6. Calculated Fields_ifelse.mp4 16.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/10. Step four Treatment-Scenario 1.mp4 16.2 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/4. From Correlation to Regression.mp4 16.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/10. Errors.mp4 16.0 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/5. Subsetting Variable Condition.mp4 15.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/10. Boosting Illustration.mp4 15.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/5. Regression Line Fitting in R.mp4 15.2 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/5. Bagging.mp4 15.0 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/3. Non Linear Decision Boundary NN.mp4 14.8 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/3. Data Cleaning Case Study.mp4 14.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/5. Neural Net Intution.mp4 14.4 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/9. Data Cleaning and Treatment.mp4 14.2 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/3. Multiple Logistic Regression.mp4 14.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/9. Boosting.mp4 13.8 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/8. Random Forest Lab.mp4 13.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/2. Model Building Cycle.mp4 13.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/6. Neural Net Algorithm.mp4 12.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/2. Importing the Datasets.mp4 12.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/9. Holdout Data Validation.mp4 12.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/5. Multicollinearity in Logistic Regression.mp4 12.8 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/3. Checklist.mp4 12.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/8. Joining and Merging.mp4 12.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/10. Digit Recognizer second attempt part1.mp4 12.3 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/7. Neural Net Algorithm Demo.mp4 12.3 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/12. Data Cleaning Scenario 3.mp4 12.2 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/5. SVM on R.mp4 12.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/4. Ensamble Models.mp4 12.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/2. The Classifier and Decision Boundary.mp4 11.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/13. Conclusion.mp4 11.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/12. Lab Digit Reconizer.mp4 11.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/3. Similiarities and Dissimilarity.mp4 11.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/1. Introduction to Decision Tree and Segmentation.mp4 11.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/3. R Packages.mp4 11.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/3. Ensemble Learning.mp4 11.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/7. Kernal Trick.mp4 11.4 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/2. Wisdom of Crowd.mp4 10.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/4. Box Plots.mp4 10.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/1. Getting Started.mp4 10.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/5. Calculating Distance in R.mp4 10.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/9. Local Vs Global Min.mp4 10.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/4. Subsetting the Data.mp4 10.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/6. Errors.mp4 10.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/9. Pruning & Complexity Parameters.mp4 10.4 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/6. Individual Impact of Variables.mp4 10.2 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/9. R Functions.mp4 10.2 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/2. R Environment.mp4 10.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/5. The Best Model.mp4 10.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/9. Exporting the Data.mp4 9.0 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/3. Percentiles and Quartiles.mp4 9.0 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/4. Calculating the Distance.mp4 8.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/2. LBA Correlation Calculation in R.mp4 8.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/8. Adjusted R Squared.mp4 8.2 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/5. Variable Level Exploration Catagorical.mp4 8.2 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/2. Types of Cluster.mp4 8.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/7. Factor and Matrix.mp4 8.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/12. Conclusion.mp4 7.4 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/4. The SVM Alogirithm and Results.mp4 7.4 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/11. Two Types of Pruning.mp4 7.3 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/6. Non Linear Boundary.mp4 6.8 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/1. Introduction and Sampling.mp4 6.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/9. Soft Margin and Validation.mp4 6.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/2. Decision Boundary.mp4 6.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/3. Beyond Pearson Correlation.mp4 5.7 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/13. Some Other Variables.mp4 5.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/10. SVM Advantage, Disadvantage and Applications.mp4 5.2 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/1.1 Section 10. SVM Datasets.zip.zip 4.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/1.1 Section 9. Neural Net Datasets.zip.zip 4.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/10. Clustering Conclusion.mp4 4.3 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/11. Regression Conclusion.mp4 4.3 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/14. Conclusions.mp4 4.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/1. Introduction to SVM.mp4 3.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/1. Introduction to Data Cleaning and Model Building Cycle.mp4 3.9 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/1. Introduction to Model Selection.mp4 3.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/13. Conclusion.mp4 3.6 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/1.2 9.Neural Network_in_R_Classv2.pdf.pdf 3.4 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/12. MSCV Conclusion.mp4 3.3 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/3. SVM- The Large Margin Classifier.mp4 3.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/1.1 Section 4. Datasets.zip.zip 2.8 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/1. Introduction to Data Handling.mp4 2.8 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/8. Logistic Regression Conclusion.mp4 2.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/12. SVM Conclusion.mp4 2.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/1.3 7.Decision_Trees_in_R_Classv1.pdf.pdf 2.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/1.3 10.SVM_in_R_Classv4.pdf.pdf 2.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/1.3 5.Regression_in_R_Classv1.pdf.pdf 2.1 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/1.2 8. Model Selection and Cross Validation_in_R_Classv3.pdf.pdf 2.0 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/1. Introduction to Bagging RF Boosting.mp4 1.5 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/1.1 12.Cluster Aalysis in R Class V3.pdf.pdf 1.3 MB
  • Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/1.2 6.Logistic Regression_in_R_Classv1.pdf.pdf 991.2 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/1.3 4. R.Data Cleaning Preparing data for Analysis_Class_v1.pdf.pdf 963.2 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/1.2 11.1.Basic Ensemble Models & Random Forests_R _v2.pdf.pdf 932.4 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/1.1 11.2.Basic Boosted Models.pdf.pdf 932.3 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/1.1 1.R Introuction Class_v2.pdf.pdf 669.4 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/1.1 3. R Basic Statistics Graphs and Reporting_Class_v2 .pdf.pdf 643.0 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/1.1 Section 7. Decision Tree Datasets.zip.zip 589.7 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/1.2 2. R DataHandling_Class_v1.pdf.pdf 534.1 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/1.3 Section 6. Logistic Regression Datasets.zip.zip 504.1 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/1.3 Section 8. MSCV Datasets.zip.zip 504.1 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/1.2 Section 12. Cluster Analysis DataSets.zip.zip 35.1 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/8. The Decision Tree Lab - Part 3 & Overfitting.srt 20.6 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/1. Need of Non-Linear Regression.srt 19.8 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/3. The Splitting Criterion & Entropy Calculation.srt 19.2 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/2. The Decision Tree Philosophy & The Decision Tree Approach.srt 19.1 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/6. Split for Variable & The Decision Tree Lab - Part 1.srt 19.0 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/12. Tree Building and Model Selection.srt 18.4 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/1.1 Section 5. Regression Datasets.zip.zip 18.0 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/10. Multicollinearity.srt 17.6 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/5. R Data Frames.srt 17.5 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/7. Step two Lab Categorical Variable Exploration.srt 17.2 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/9. Data Standardisation and Non-numeric Data.srt 17.1 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/7. The Decision Tree Lab - Part 2 & Validation.srt 17.0 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/6. Clustering Algorithms- Kmeans.srt 16.5 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/6. R Squared.srt 16.2 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/7. Model Selection.srt 16.0 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/4. Goodness of Fit for a Logistic Regression.srt 16.0 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/5. The Decision Tree Algorithm.srt 15.7 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/7. Overfitting Underfitting.srt 15.2 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/9. Issue with Multiple Regression.srt 14.9 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/4. R Data types Vectors.srt 14.6 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/8. More on Kmeans.srt 14.5 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/7. Kmeans Clustering on R.srt 14.4 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/7. Random Forest.srt 14.3 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/8. Step three Lab Variable Level Exploration Continues.srt 14.3 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/6. List.srt 14.1 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/6. Reading Data Dictionary.srt 14.1 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/4. CS lab step one basic content of dataset.srt 14.0 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/4. From Correlation to Regression.srt 13.7 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/10. Choosing Cp & Cross Validation Error.srt 13.6 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/7. Sorting and Duplicates.srt 13.5 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/2. Descriptive Statistics.srt 13.3 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/11. Step four Treatment-Scenario 2.srt 13.2 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/3. Sensitivity Specificity Continued.srt 13.2 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/4. Non Linear Decision Boundary and Solution.srt 13.1 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/2. Logistic Function and Line.srt 13.0 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/8. R History and Scripts.srt 13.0 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/7. Multiple Regression.srt 12.9 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/8. Building a Neural Network.srt 12.7 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/1. Introduction to Clustering via Segmentation.srt 12.7 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/2. Sensitivity Specificity.srt 12.7 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/10. Ten fold CV.srt 12.5 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/11. Boosting Lab.srt 12.1 kB
  • Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/10. Errors.srt 12.1 kB
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