Machine learning with R (RF, Adabost.M1, DT, NB, LR, NN) [FREE UDEMY COUPON]

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Description

  • How to download and install R
  • How to set your working directory import your data and detect rows containing missing values 
  • For binary classification
  1. Training and prediction using the Random Forest model , prediction accuracy, Confusion matrix  and confidence interval 
  2. Training and prediction using the  Adabost.M1 model , prediction accuracy, Confusion matrix and confidence interval 
  3. Training and prediction using the Decision Tree model , prediction accuracy, Confusion matrix and confidence interval
  4. Training and prediction using the logistic regression model, prediction accuracy, confusion matrix and confidence interval 
  5. Training and prediction using the Naive Bayes model, prediction accuracy, confusion matrix and confidence interval 
  6. Training and prediction using the Neural Network model , prediction  accuracy, confusion matrix and confidence interval 
  7. Training and prediction using the Convolutional neural network (KNN) , prediction accuracy, confusion matrix and confidence interval 
  • How to combine models to predict 
  • Missing values treatment ,variables selection and prediction using a linear regression model   
  • K mean Clustering 

Activate your Free coupon for Machine learning with R (RF, Adabost.M1, DT, NB, LR, NN)  Use below link to get free lifetime access to this course. Grab it before the coupon gets expired.

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Course Overview :

Course Name: Machine learning with R (RF, Adabost.M1, DT, NB, LR, NN).

Course Platform: UDEMY

Course Instructor: Modeste Atsague

Course Language: English

Video Length: 3 hours

Who this course is for:

  • If you are interested in predictive analytics, then this course is the right fit for you
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