Recently Published
Classification of IBM Employee Attrition by Using Neural Network
Classification of IBM Employee Attrition by Using Neural Network (using keras and neuralnet)
Unsupervised Learning: Customer Personality Analysis Segmentation
Unsupervised Learning: Customer Personality Analysis Segmentation Using K-Means Clustering and Principal Component Analysis (PCA)
Time Series Forecasting: The number of Room Nights in Hotels, Motels, and Guesthouses in Victoria, Australia
Time Series Forecasting: The number of Room Nights in Hotels, Motels, and Guesthouses in Victoria, Australia, Using Holt-Winters, SARIMA, and TBATS Models.
Diabetes Patient Classification Using Naive Bayes, Decision Tree, and Random Forest Model
LBB Classification II
Diabetes Patient Classification Using Naive Bayes, Decision Tree, and Random Forest Model
Heart Disease Classification: Logistic Regression and K-Nearest Neighbor
Heart Disease Classification: Logistic Regression and K-Nearest Neighbor
Regression Model: NVIDIA Corporation Stock Market Report
Regression Model: NVIDIA Corporation Stock Market Report
Telemarketing Campaign of a Portuguese Bank
Task: LBB P4DS
Dataset: https://archive.ics.uci.edu/ml/datasets/bank+marketing/
Flex_LBB_IP
The happiness scores and rankings use data from the Gallup World Poll . The columns following the happiness score estimate the extent to which each of six factors – economic production, social support, life expectancy, freedom, absence of corruption, and generosity.
Source: https://www.kaggle.com/datasets/ajaypalsinghlo/world-happiness-report-2021/data
Flexdashboard_Yoda
Flexdashboard Interactive Plotting Course