Icon04_​Regression_​Tree_​exercise 

Introduction to Machine Learning Algorithms course - Session 2 Exercise 2 - Partition data into train and test set - Train a Regression Tree model - Apply […]

Icon02.01 Linear Regression exercise 

URL: Ames Housing Dataset on Kaggle https://www.kaggle.com/prevek18/ames-housing-dataset URL: Description on the Ames Iowa Housing Data […]

Icon02.01 Linear Regression solution 

URL: Description of the Ames Iowa Housing Data https://rdrr.io/cran/AmesHousing/man/ames_raw.html URL: Ames Housing Dataset on Kaggle […]

Icon017101_​Spark_​MLlib_​Decision_​Tree 

017101_Spark_MLlib_Decision_Tree This workflow demonstrates the usage of the Spark MLlib Decision Tree Learner and Spark Predictor. It also demonstrates […]

Icon05_​Random_​Forest_​solution 

Introduction to Machine Learning Algorithms course - Session 2 Solution to exercise 3 - Train a random forest model - Apply the model to the test set - […]

Icon05_​Random_​Forest_​exercise 

Introduction to Machine Learning Algorithms course - Session 2 Exercise 3 - Train a Random Forest model - Apply the model to the test set - Evaluate the […]

Icon03_​Random_​Forest_​exercise 

Random Forest - exercise Introduction to Machine Learning Algorithms course - Session 2 Exercise 3 - Train a Random Forest model - Apply the model to the […]

Icon02_​Logistic_​Regression_​solution 

Introduction to Machine Learning Algorithms course - Session 2 Solution to exercise 4 - Train a logistic regression model - Apply the model to the test […]

Icon04_​Logistic_​Regression_​solution 

Logistic Regression - solution Introduction to Machine Learning Algorithms course - Session 2 Solution to exercise 4 - Train a logistic regression model - […]

Icon04_​Logistic_​Regression_​exercise 

Logistic Regression - exercise Introduction to Machine Learning Algorithms course - Session 2 Exercise 4 - Train a logistic regression model - Apply the […]