Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
Project examines factors affecting the change in car sales between 2019 and 2020 utilizing real world data, python, pandas, matplotlib and jupyter notebook.
This is a repository which contains a small demo of danfo.js. danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.
Employee exit survey results from two institutes, Department of Education, Training and Employment (DETE) and the Technical and Further Education (TAFE) in Queensland, Australia, were analyzed to discover if there were notable relationships between employee dissatisfaction rates, and factors such as their Age, and how long they had been working at their respective institutes.
Analysis of Paycheck Protection Program by the government done to the Covid crisis in 2020. This repository focuses on merging, cleaning, normalizing and exploring the data using Python, Python Pandas and PySpark.
Using Python and SQLAlchemy to do basic climate analysis and data exploration of our climate database. Then after initial analysis, designing a Flask API based on the queries that we just developed.
The purpose of creating a binary classifier capable of predicting applicant's success rate. The Data is preprocessed, a NNM (Neurnal Network Model) is compiled, trained and evaluated.