Timothy Abwao
Data Analyst • Data Scientist
Deriving value from data through comprehensive Exploratory Analysis, Visualization and Predictive Analytics.
Featured Articles:
Deploying Machine Learning Models With Streamlit
Once a machine learning model performs acceptably well on validation data, we’ll likely wish to see how it does on real-world data. Streamlit makes it easy to publish models to collect and act on user input.
Exploring Categorical Data With Pandas
Categorical data consists of variables that can take on a limited set of values(“levels”). Common examples include gender, grades and star-ratings. Let’s discuss some of the techniques for extracting insights from it.
Table Partitioning In Postgresql
In database lingo, partitioning refers to the splitting of a table into smaller physical units. It helps speed up queries by reducing the amount of data to sift through, and enabling action on chunks rather than individual rows.
Streamline Modelling & Prediction In Scikit‒learn With Pipelines
It’s always fascinating watching a well orchestrated production line at work (How It’s Made). Raw materials go in, magic happens, and something wonderful comes out the other end. Such elegant efficiency can, and does exist in machine learning too.