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Prompt engineering for interactive Python Streamlit mapsDall-E image: A choropleth map on a screen with a pleasing view in the background Interactive choropleth maps are powerful tools for visualizing and understanding complex datasets related to geographical areas. Author(s): John Loewen, PhD Originally published on Towards AI.
In today’s blog, we will explore the Netflix dataset using Python and uncover some interesting insights. In this blog, we’ll be using Python to perform exploratory data analysis (EDA) on a Netflix dataset that we’ve found on Kaggle. plt.figure(figsize=(12,6)) df[df["type"]=="TV Show"]["release_year"].value_counts()[:20].plot(kind="bar",color="Blue")
In today’s blog, we will see some very interesting Python Machine Learning projects with source code. This is one of the best Machine learning projects in Python. Doctor-Patient Appointment System in Python using Flask Hey guys, in this blog we will see a Doctor-Patient Appointment System for Hospitals built in Python using Flask.
This is one of the best Machine learning projects in Python. Doctor-Patient Appointment System in Python using Flask Hey guys, in this blog we will see a Doctor-Patient Appointment System for Hospitals built in Python using Flask. We have the IPL data from 2008 to 2017. It is going to be a very interesting project.
Youtube Comments Extraction and Sentiment Analysis Flask App Hey, guys in this blog we will implement Youtube Comments Extraction and Sentiment Analysis in Python using Flask. This is one of the best Machine learning projects with source code in Python. We have the IPL data from 2008 to 2017.
This is one of the best Machine Learning Projects for final year in Python. Youtube Comments Extraction and Sentiment Analysis Flask App Hey, guys in this blog we will implement Youtube Comments Extraction and Sentiment Analysis in Python using Flask. We have the IPL data from 2008 to 2017.
Data Visualisation Saved Lives in the 1800s The earliest recorded use of datavisualization to influence public policy dates back to Florence Nightingale, who used charts to improve hospital sanitation for British soldiers during the Crimean War. Her work demonstrated the power of data in driving social change.
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