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种子名称： Machine Learning Made Easy - Beginner to Advanced using R
文件类型： 视频
文件数目： 129个文件
文件大小： 1.88 GB
收录时间： 2021-5-1 06:19
已经下载： 3次
资源热度： 115
最近下载： 2024-12-18 14:50

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Machine Learning Made Easy - Beginner to Advanced using R.torrent

Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/1. Getting Started.mp410.21MB

Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/2. R Environment.mp49.64MB

Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/3. R Packages.mp411.06MB

Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/4. R Data types Vectors.mp431.75MB

Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/5. R Data Frames.mp426.97MB

Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/6. List.mp421.12MB

Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/7. Factor and Matrix.mp47.71MB

Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/8. R History and Scripts.mp422.09MB

Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/9. R Functions.mp49.69MB

Machine Learning Made Easy - Beginner to Advanced using R/1. Introduction to R/10. Errors.mp415.29MB

Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/1. Introduction to Data Handling.mp42.63MB

Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/2. Importing the Datasets.mp412.31MB

Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/3. Checklist.mp412.07MB

Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/4. Subsetting the Data.mp410.08MB

Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/5. Subsetting Variable Condition.mp414.99MB

Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/6. Calculated Fields_ifelse.mp415.8MB

Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/7. Sorting and Duplicates.mp421.67MB

Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/8. Joining and Merging.mp412.01MB

Machine Learning Made Easy - Beginner to Advanced using R/2. Data Handling in R/9. Exporting the Data.mp48.58MB

Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/1. Introduction and Sampling.mp46.41MB

Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/2. Descriptive Statistics.mp418.23MB

Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/3. Percentiles and Quartiles.mp48.57MB

Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/4. Box Plots.mp410.23MB

Machine Learning Made Easy - Beginner to Advanced using R/3. Basic Statistics and Graph/5. Creating Graphs and Conclusions.mp416.56MB

Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/1. Introduction to Data Cleaning and Model Building Cycle.mp43.67MB

Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/2. Model Building Cycle.mp412.9MB

Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/3. Data Cleaning Case Study.mp413.82MB

Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/4. CS lab step one basic content of dataset.mp424.28MB

Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/5. Variable Level Exploration Catagorical.mp47.78MB

Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/6. Reading Data Dictionary.mp425.65MB

Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/7. Step two Lab Categorical Variable Exploration.mp429.99MB

Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/8. Step three Lab Variable Level Exploration Continues.mp428.9MB

Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/9. Data Cleaning and Treatment.mp413.56MB

Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/10. Step four Treatment-Scenario 1.mp415.48MB

Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/11. Step four Treatment-Scenario 2.mp420.93MB

Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/12. Data Cleaning Scenario 3.mp411.61MB

Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/13. Some Other Variables.mp45.23MB

Machine Learning Made Easy - Beginner to Advanced using R/4. Data Cleaning and Treatment/14. Conclusions.mp43.9MB

Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/1. Introduction and Correlation.mp427.31MB

Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/2. LBA Correlation Calculation in R.mp48.09MB

Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/3. Beyond Pearson Correlation.mp45.46MB

Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/4. From Correlation to Regression.mp415.37MB

Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/5. Regression Line Fitting in R.mp414.54MB

Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/6. R Squared.mp420.88MB

Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/7. Multiple Regression.mp417.71MB

Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/8. Adjusted R Squared.mp47.78MB

Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/9. Issue with Multiple Regression.mp423.93MB

Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/10. Multicollinearity.mp422.75MB

Machine Learning Made Easy - Beginner to Advanced using R/5. Linear Regression/11. Regression Conclusion.mp44.06MB

Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/1. Need of Non-Linear Regression.mp424.16MB

Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/2. Logistic Function and Line.mp416.3MB

Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/3. Multiple Logistic Regression.mp413.43MB

Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/4. Goodness of Fit for a Logistic Regression.mp420.63MB

Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/5. Multicollinearity in Logistic Regression.mp412.17MB

Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/6. Individual Impact of Variables.mp49.72MB

Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/7. Model Selection.mp423.69MB

Machine Learning Made Easy - Beginner to Advanced using R/6. Logistic Regression/8. Logistic Regression Conclusion.mp42.41MB

Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/1. Introduction to Decision Tree and Segmentation.mp411.07MB

Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/2. The Decision Tree Philosophy & The Decision Tree Approach.mp425.4MB

Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/3. The Splitting Criterion & Entropy Calculation.mp427.8MB

Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/4. Information Gain & Calculation.mp415.96MB

Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/5. The Decision Tree Algorithm.mp418.66MB

Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/6. Split for Variable & The Decision Tree Lab - Part 1.mp428.54MB

Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/7. The Decision Tree Lab - Part 2 & Validation.mp427.41MB

Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/8. The Decision Tree Lab - Part 3 & Overfitting.mp436.69MB

Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/9. Pruning & Complexity Parameters.mp49.93MB

Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/10. Choosing Cp & Cross Validation Error.mp423.79MB

Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/11. Two Types of Pruning.mp46.95MB

Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/12. Tree Building and Model Selection.mp437.09MB

Machine Learning Made Easy - Beginner to Advanced using R/7. Decision Tree/13. Conclusion.mp43.43MB

Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/1. Introduction to Model Selection.mp43.47MB

Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/2. Sensitivity Specificity.mp419.12MB

Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/3. Sensitivity Specificity Continued.mp418.44MB

Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/4. ROC AUC.mp422.46MB

Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/5. The Best Model.mp49.6MB

Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/6. Errors.mp410.07MB

Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/7. Overfitting Underfitting.mp428.5MB

Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/8. Bias_Variance Treadoff.mp416.83MB

Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/9. Holdout Data Validation.mp412.27MB

Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/10. Ten fold CV.mp423.64MB

Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/11. Kfold CV.mp418.32MB

Machine Learning Made Easy - Beginner to Advanced using R/8. Model Selection and Cross Validation/12. MSCV Conclusion.mp43.15MB

Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/1. Introduction and Logistic Regression Recap.mp416.05MB

Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/2. Decision Boundary.mp46.39MB

Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/3. Non Linear Decision Boundary NN.mp414.16MB

Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/4. Non Linear Decision Boundary and Solution.mp428.44MB

Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/5. Neural Net Intution.mp413.72MB

Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/6. Neural Net Algorithm.mp412.32MB

Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/7. Neural Net Algorithm Demo.mp411.74MB

Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/8. Building a Neural Network.mp424.58MB

Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/9. Local Vs Global Min.mp410.1MB

Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/10. Digit Recognizer second attempt part1.mp411.77MB

Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/11. Digit Recognizer second attempt part2.mp418.22MB

Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/12. Lab Digit Reconizer.mp411.13MB

Machine Learning Made Easy - Beginner to Advanced using R/9. Neural Networks/13. Conclusion.mp411.17MB

Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/1. Introduction to SVM.mp43.74MB

Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/2. The Classifier and Decision Boundary.mp411.39MB

Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/3. SVM- The Large Margin Classifier.mp42.92MB

Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/4. The SVM Alogirithm and Results.mp47.09MB

Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/5. SVM on R.mp411.55MB

Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/6. Non Linear Boundary.mp46.53MB

Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/7. Kernal Trick.mp410.87MB

Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/8. Kernal Trick on R.mp417.61MB

Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/9. Soft Margin and Validation.mp46.39MB

Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/10. SVM Advantage, Disadvantage and Applications.mp44.96MB

Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/11. Lab Digit Reconizer.mp424.81MB

Machine Learning Made Easy - Beginner to Advanced using R/10. Support Vector Machines/12. SVM Conclusion.mp42.02MB

Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/1. Introduction to Bagging RF Boosting.mp41.42MB

Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/2. Wisdom of Crowd.mp410.44MB

Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/3. Ensemble Learning.mp410.98MB

Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/4. Ensamble Models.mp411.53MB

Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/5. Bagging.mp414.34MB

Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/6. Bagging Models.mp416.53MB

Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/7. Random Forest.mp422.15MB

Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/8. Random Forest Lab.mp413.1MB

Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/9. Boosting.mp413.19MB

Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/10. Boosting Illustration.mp414.77MB

Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/11. Boosting Lab.mp429.33MB

Machine Learning Made Easy - Beginner to Advanced using R/11. Ensamble Learning, Random Forest and Boosting/12. Conclusion.mp47.1MB

Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/1. Introduction to Clustering via Segmentation.mp416.53MB

Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/2. Types of Cluster.mp47.74MB

Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/3. Similiarities and Dissimilarity.mp411.07MB

Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/4. Calculating the Distance.mp48.12MB

Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/5. Calculating Distance in R.mp410.2MB

Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/6. Clustering Algorithms- Kmeans.mp421.99MB

Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/7. Kmeans Clustering on R.mp426.15MB

Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/8. More on Kmeans.mp425.7MB

Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/9. Data Standardisation and Non-numeric Data.mp421.72MB

Machine Learning Made Easy - Beginner to Advanced using R/12. Cluster Analysis/10. Clustering Conclusion.mp44.13MB