Machine learning with R (RF, Adabost.M1, DT, NB, LR, NN)
Machine learning with R (RF, Adabost.M1, DT, NB, LR, NN)
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 15 | 2.71 GB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 15 | 2.71 GB
Genre: eLearning | Language: English
RF, Adabost.M1, DecisionTree, Logistic Regression , Naive Bayes, Neural Network, CNN, K-mean , Linear regress
How to download and install R
How to set your working directory import your data and detect rows containing missing values
For binary classification
Training and prediction using the Random Forest model , prediction accuracy, Confusion matrix and confidence interval
Training and prediction using the Adabost.M1 model , prediction accuracy, Confusion matrix and confidence interval
Training and prediction using the Decision Tree model , prediction accuracy, Confusion matrix and confidence interval
Training and prediction using the logistic regression model, prediction accuracy, confusion matrix and confidence interval
Training and prediction using the Naive Bayes model, prediction accuracy, confusion matrix and confidence interval
Training and prediction using the Neural Network model , prediction accuracy, confusion matrix and confidence interval
Training and prediction using the Convolutional neural network (KNN) , prediction accuracy, confusion matrix and confidence interval
Machine learning with R (RF, Adabost.M1, DT, NB, LR, NN)
