Here we show, how to use the Matplotlib library to create various types of visualizations, including static and interactive ones like histograms.
A loan prediction model using python to automate the decision-making process with analysing and fitting various cases provided in the dataset.
To visualize common technical analysis tools like fetching historical stock data, moving averages, and stock prices using yfinance, matplotlib and seaborn module.
Here we demonstrate how we can use PyPDF2 module to find specific content by defining patterns that match the desired text pattern.