Python Handling datetime in Pandas DataFrame
Create a Year-Month column
year_month = pd.date_range(start='2020-04', end='2021-09', freq='M')
df = pd.DataFrame({...
Python R Merging consecutive or overlapping time periods in R
I had a table something like this:
patient_id <- c(rep(100,5), rep(101,6))
drug <- c(rep("A",3), rep("B",2...
Python How to split data into training, validation, and test sets
In this post, I am going to introduce several ways to split data into training, validation, and test sets for your mach...
Python Handling a large tabular dataset using Vaex
When you have to handle a large tabular dataset (for example, 100 GB dataset with one billion rows), which cannot fit i...
R Visualizing prescription drugs using a Dumbbell chart in R
In this post, I am going to show you how to visualize prescription periods of drugs using a Dumbbell chart in R.
lib...
dataset Publicly available datasets in healthcare
This post introduces publicly available datasets in healthcare for those who are interested in learning statistical ana...
Python Plotting functions in Python
Here I'm going to plot several machine learning-related functions in Python.
First, import necessary modules:
imp...
dataset Heart failure dataset
The data was collected from 299 patients (105 women and 194 men) who were admitted to Institute of Cardiology and Allie...
Python Predicting mortality in heart failure patients using machine learning (PyCaret)
In this post, I'm going to develop machine learning models to predict death in heart failure patients.
Dataset
Th...
Python Analyzing emails in Python
Open EML files
Create a list of paths to .eml files in a directory and extract their file names and texts.
from p...