Preethi Evelyn Sadanandan

EDA and random forest regressor that predicts the attrition rate for a dataset of an organisation

The code behind docs.getdbt.com

My profile details and background

No description provided.

DBT Training Capstone project

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

Utility functions for dbt projects.

Code to web-scrape the Amazon bestsellers page for books

This is a repo with links to everything you'd ever want to learn about data engineering

An analysis of a Pokemon dataset including insights, visualisations, cluster analysis and a logistic regression model

Gen AI Training Program at Tredence

The tasks completed during the Data Science & Business Analytics Internship at The Sparks Foundation

Data Engineer Case Study Assignment for AI Palette

The code created while following along with the Hands-on Introduction to Apache Airflow course on Udemy

PySpark Cheat Sheet - example code to help you learn PySpark and develop apps faster

Code for the book Automate the boring stuff with Python by Al Sweigart

A car price prediction regression project to predict the price of cars. Includes exploratory data analysis, a linear model and random forest regressor.

Recreating the late Hans Rosling's visualizaton in python.

Code for 'The Art of Statistics'

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Small python projects

A script-based RPG battle script written in python 3

The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.

Python Data Science Handbook: full text in Jupyter Notebooks

Approaching (Almost) Any Machine Learning Problem