This project is designed to Create Automated-ML-Application-for-Exploratory-Data-Analysis-Streamlit-Deployment with Python, streamlit.
Highly comprehensive analysis with all data cleaning, exploration, and visualization has been in the back end with Python and its intention to create it like a NO CODE PLATFORM
Using Data Science with Machine Learning to detect the price of diamonds using significant features given by the most linked features that are taken into consideration when evaluating price by diamond sellers.
This notebook is a study on the Data Science Job Salaries dataset, containing information on salary, company size and location, remote work, employee location, and many other related to people working in the Data Science field throughout the world.
Python Script that would take any type of data as an input whether (.csv or .xlsx) that hold data with different type of errors that need to be corrected first then return an automated Exploratory Data Analysis Charts as an output..