Data Science Project from scratch - 5: Deploy the model with FastAPI

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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 5 video tutorial, we'll deploy the model with FastAPI.

Step-by-step process (Stay tuned for the next video!)
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

  1. Lianne and Justin
  2. fastapi
  3. fastapi tutorial
  4. data science project from scratch
  5. data science project
  6. machine learning projects
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Комментарии
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Sir, I get an error in model_nba.joblib in pycharm code.
Can you resolve it or explain it please 🥺

dhirajpal
Автор

Can you use flask to achieve similar objectives?

imnotosamabinladen