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: https://github.com/liannewriting/data...


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: https://www.udemy.com/course/python-i...




Get access to more data science materials, check out our website Just into Data: https://justintodata.com/