Icon01_​Linear_​Regression_​exercise 

Linear Regression - exercise Introduction to Machine Learning Algorithms course - Session 2 Exercise 1 - Partition data into train and test set - Train a […]

Icon01_​Simple_​Neural_​Network_​exercise 

Simple Neural Network - exercise Introduction to Machine Learning Algorithms course - Session 3 Exercise 1 - Train a fully connected neural network - Apply […]

Icon03.01 Random Forest solution 

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

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_​exercise 

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

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 […]

Icon04.01 Simple Neural Network exercise 

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

Icon02_​Regression_​Tree_​solution 

Regression Tree - solution Introduction to Machine Learning Algorithms course - Session 2 Solution to exercise 2 - Partition data into training and test […]

Icon02_​Regression_​Tree_​exercise 

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

Icon04_​Regression_​Tree_​solution 

Introduction to Machine Learning Algorithms course - Session 2 Solution to exercise 2 - Partition data into training and test set - Train a regression tree […]