Data Science Project from scratch - 2: Collect data (NBA games)

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 2 video, we'll collect data.

GitHub Repo with code: https://github.com/liannewriting/data-science-project-from-scratch-youtube-nba

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
► FREE Python Crash Course: https://www.justintodata.com/learn-python-free-online-course-data-science/

► Python for Data Analysis with projects course:
https://www.udemy.com/course/python-for-data-analysis-step-by-step/?referralCode=C8B8B507FB1197183455


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

Тэги:

#data_science_project_from_scratch #data_science_project #machine_learning_projects #nba_games #nba_games_predictions #data_science_python #machine_learning #data_scientist #nba_api #machine_learning_projects_in_python #data_science_models #data_science_beginner #data_science_project_for_beginners #data_science_project_step_by_step #data_science_project_tutorial #data_science_project_walkthrough #data_science

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