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Скачать или смотреть Python Streamlit Projects for Your Portfolio (2025 Ready)

  • CODE WITH BHUTTA G
  • 2025-07-27
  • 472
Python Streamlit Projects for Your Portfolio (2025 Ready)
stock forecastingstreamlit appstock market appdata science portfoliostreamlit dashboardplotly expresssarimax modeltime series forecastingpython dashboardyfinancepandasstatsmodelsglobal data visualizationgapminder dashboardinteractive streamlit appdata science projectcodewithbhuttagstock price predictionstreamlit web appstreamlit time series
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📊 3 Powerful Data Science Web Apps with Streamlit & Plotly | Forecasting & Dashboards
Welcome to another powerful showcase from #codewithbhuttag! In this video, I walk you through 3 interactive, production-ready Streamlit apps that cover:

🔮 1. Stock Market Forecasting App (app_03)
Forecast and visualize stock prices using SARIMAX models and time series analysis. Use YFinance to fetch stock data, decompose trends and seasonality, run ADF tests, and predict future prices with confidence.
✅ Built with: Streamlit, YFinance, Statsmodels, Plotly, Pandas.

📈 2. Global GDP & Life Expectancy Dashboard (app_04)
An animated dashboard using Plotly Express to visualize the correlation between GDP per Capita and Life Expectancy across decades. It includes play/pause controls, bubble plots, and a highly interactive layout.
✅ Built with: Streamlit, Plotly Express, Pandas.

🌍 3. Global Socio-Economic Data App (app_05)
Explore worldwide socio-economic insights by continent. Use filters to track GDP, population, and life expectancy. Simple layout, clear KPIs, and comparative visuals make it business-ready.
✅ Built with: Streamlit, Plotly Express, Pandas.

🧠 Why Watch This Video?
Learn how to build real-world data-driven apps

Understand how to combine time series models + dashboards

Great for portfolio projects, freelancers, and job seekers

100% beginner-friendly and Python-based
🔗 Deployed apps, code structure, and visuals explained clearly.

💼 Also shared on LinkedIn for professionals looking to build apps for finance, economics, and decision-making.

📂 Project Folder: app_03/, app_04/, app_05/
📄 Main File: app.py in each folder
📊 Dataset: YFinance and Gapminder (Plotly built-in)

🔥 Want More?
Subscribe for:
✅ Streamlit + AI projects
✅ Business analytics tools
✅ Data science tips
✅ Python automation
🔔 Don’t forget to hit the Like, Comment, and Subscribe!

tages
stock forecasting, streamlit app, stock market app, data science portfolio, streamlit dashboard, plotly express, sarimax model, time series forecasting, python dashboard, yfinance, pandas, statsmodels, global data visualization, gapminder dashboard, interactive streamlit app, data science project, codewithbhuttag, stock price prediction, streamlit web app, streamlit time series

hashtages
#codewithbhuttag
#streamlitapp
#datascienceproject
#stockforecasting
#plotlydashboard
#pythonapps
#timeSeries
#yfinance
#dataanalytics
#machinelearning

titles of this video

Build 3 Real-World Streamlit Apps for Data Science Projects

Stock Forecasting & Animated Dashboards with Streamlit

Create Stock Market Prediction App in Python with Streamlit

Streamlit Dashboards for GDP, Population & Stock Analysis

Forecast Stock Prices Using SARIMAX and YFinance in Python

3 End-to-End Python Apps: Forecasting, GDP, and Dashboard

Data Science Portfolio Projects with Streamlit & Plotly

Visualize Stock Data with Time Series Forecasting (Python)

Stunning Streamlit Dashboards with Global Socio-Eco Data

Build Forecasting App with SARIMAX, Plotly & YFinance

Python Dashboard for GDP, Population & Life Expectancy

Interactive Stock Market Prediction App with Streamlit

Time Series App + Animated Dashboards | Streamlit & Plotly

Best Streamlit Apps for Data Science Portfolios in 2025

Forecast Stocks with Python + Streamlit | Full Code Demo

Streamlit Visualization Projects: GDP, Stock, Life Expectancy

Build Data Dashboards in Python with Plotly Express

Streamlit Portfolio Projects Every Data Scientist Should Build

Global Dashboard App Using Gapminder & Streamlit (2025)

Forecasting Stock Prices + Building Dashboards in Python

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