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Data Science Project from scratch - 3: Clean and Explore data (feature engineering) 4 года назад


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Data Science Project from scratch - 3: Clean and Explore data (feature engineering)

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 3 video, we'll clean and explore data. GitHub Repo with code: https://github.com/liannewriting/data... 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 ► Python for Data Analysis with projects course: https://www.udemy.com/course/python-f... Get access to more data science materials, check out our website Just into Data: https://justintodata.com/

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