02_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 […]
03_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 […]
01_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 […]
04_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 […]
02_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 […]
02_Regression_Tree_solution
Regression Tree - solution Introduction to Machine Learning Algorithms course - Session 2 Solution to exercise 2 - Partition data into training and test […]
03_Co-occurrence_Network
Co-occurrence Network This workflow describes the network creation process and specifically creates the drug-drug co-occurence network. Here, we use the […]
02.2 ELT on website usage data - transform big data on cloud and Spark
<p>The company tracks the usage of the website and stores the information about different actions during each session: login and logout times, opened pages, […]
02.2 ELT on website usage data - transform big data on cloud and Spark
<p>The company tracks the usage of the website and stores the information about different actions during each session: login and logout times, opened pages, […]
02_Fraud_Detection_Deployment_Solution
Keras Autoencoder for Fraud Detection - Deployment Exercise of the L4-DL Introduction to Deep Learning Course. The goal of this exercise is to apply a […]