Analyzing US Economy for practicing Jupityer Notebook
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Updated
Mar 28, 2022 - Jupyter Notebook
Analyzing US Economy for practicing Jupityer Notebook
Some small data science tutorials
create and share Jupyter notebook by using watson studio
Precure data base coded with Python 3 over Jupyter Notebook
Interactive Dashboard using Jupyter Notebook with various graphs and plots
Dash app and Jupyter Notebook to plot Brazilian Indigenous Villages Location
Tutorial on Dashboarding with Scheduled Notebooks from Rachael Tatman at Kaggle
Dashboard de Vendas com grΓ‘ficos gerados em Python no Jupyter Notebook.
Display live metrics from a ML notebook using a Deta Space app. TensorBoard alternative.
This a project about cars information, I performed data cleaning, EDA and Visualization using Python libraries And KPIS With PostgreSQL and an interactive dashboard contians DAXS and helpful measures with Power BI
A Jupyter Notebook interactive dashboard to investigate correlations over time among several demographic indicators.
A bike-sharing analysis project, using jupyter notebook for data wrangling and analysis, and streamlit for dashboard
This program was written to practice using Jupyter Notebook, writing Python, using linear-regression, and Voila dashboard, among other things.
This repository contains a dashboard to visualize the US flights data and notebooks for some ML tasks on the same data
Data analysis on bikeshare system using Python code under Jupyter Notebook to carry out EDA & visualization and Streamlit to develop interactive dashboard.
A handy markdown note block for your WordPress admin panel.
In this project, I am prominently trying to Analyse the airline data set, First I made a Dashboard in order to have an overview of the data, then I perform Data analysis in Jupyter notebook according to the problem statement and then make a final report.
This repository showcases all the notebooks and visualizations from my academic journey. π It's a treasure trove of projects covering diverse subjects. From π§ͺ science experiments to π data analysis, π₯οΈ coding challenges to π research papers, it's all here! Explore the code, dive into the visuals, and witness my academic growth. π±
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