Welcome to our new Data Science Project from scratch series. We'll walk through a real-life data science project, end-to-end.
In this Part 6 video, we'll create a web application with Dash in Python.
GitHub Repo with code: github.com/liannewriting/data-science-project-from…
Step-by-step process
Part 1: Brainstorm ideas
Part 2: Collect data (NBA games)
Part 3: Clean and Explore data (feature engineering)
Part 4: Build a predictive model
Part 5: Deploy the model with FastAPI
▶️Part 6: Create a web app with Dash
Technologies that will be used
☑️ JupyterLab (Notebook)
☑️ PyCharm
☑️ Python (pandas, scikit-learn, xgboost, dash, etc)
☑️ FastAPI
Links mentioned in the video
► Python Interactive Dashboards with Plotly Dash: www.udemy.com/course/python-interactive-dashboards…
Get access to more data science materials, check out our website Just into Data: justintodata.com/
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