shreevanirao / python-projects

Using Python & its libraries like BeautifulSoup and API Request to Data wrangle to Webscrape and collect data with API requests. Pandas & Numpy libraries to perform EDA for Hotel Booking dataset insights

Python-Projects

Self Explanatory folder structure to showcase the EDA process with its Viz using Python libraries

• Using Anaconda, worked on Jupyter notebook to create multiple notebooks to demonstrate Python libraries that I used to collect, clean and explore the data.

• Coded multiple Jupyter notebooks to collect data using BeautifulSoup library to Web Scrape, Make API calls with Requests library, Pandas to present it in a readable tabular format.

• Used Pandas & Numpy libraries to clean the dataset uploaded using a CSV file in a well documented Jupyter Notebooks with output shown in a formatted data.

• Downloaded Kaggle datasets to perform EDA with multiple documented Jupyter Notebooks to showcase the statistical insights of Black Friday Sales & Hotel Booking Demand data with Pandas & Numpy libraries alongwith accompanying visualizations using Bar charts, Histograms, Box Plots, HeatMaps to demonstrate the data distribution using Seaborn, Matplotlib and Plotly libraries.

• Link for the EDA - Hotel Booking Demand (Ploty figures won't display in local notebook)

https://nbviewer.org/github/ShreevaniRao/Python-Projects/blob/main/EDA/Hotel%20Booking%20Demand%20-%20EDA.ipynb