Preethi Evelyn Sadanandan's repositories
data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
employee-attrition
EDA and random forest regressor that predicts the attrition rate for a dataset of an organisation
ai_palette_case_study
Data Engineer Case Study Assignment for AI Palette
amz_bestsellers_books
Code to scrape the Amazon bestsellers page for books
approachingalmost
Approaching (Almost) Any Machine Learning Problem
ArtofStatistics
Code for 'The Art of Statistics'
automate_the_boring_stuff_with_python
Code for the book Automate the boring stuff with Python by Al Sweigart
car-price-prediction
A car price prediction regression project to predict the price of cars. Includes exploratory data analysis, a linear model and random forest regressor.
docs.getdbt.com
The code behind docs.getdbt.com
handson-ml2
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.
Hans-Rosling-viz
Recreating the late Hans Rosling's visualizaton in python.
The-Sparks-Foundation
The tasks completed during the Data Science & Business Analytics Internship at The Sparks Foundation
learning_airflow
The code created while following along with the Hands-on Introduction to Apache Airflow course on Udemy
pokemon_analysis
An analysis of a Pokemon dataset including insights, visualisations, cluster analysis and a logistic regression model
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
pyspark-cheatsheet
PySpark Cheat Sheet - example code to help you learn PySpark and develop apps faster
python-projects
Small python projects
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
theMLbook
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.