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Data Science Project from scratch - 1: Brainstorm ideas
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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 1 video, we'll brainstorm ideas.
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
Links mentioned in the video
In this Part 1 video, we'll brainstorm ideas.
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
Links mentioned in the video
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