Predict Employee Performance with Machine Learning: A Step-by-Step Data Science Project in Python
Discover how to build and deploy a machine learning model to predict employee performance scores in this comprehensive Python tutorial. Starting with data preprocessing and exploratory analysis, we guide you through every step of creating a robust prediction model using libraries like pandas, scikit-learn, and matplotlib. But we don’t stop there! Learn how to take your project to the next level by deploying it using Streamlit, turning your data science project into an interactive web app. Whether you're a beginner or a seasoned pro, this tutorial offers valuable insights into building and deploying machine learning applications. Perfect for anyone passionate about data science, machine learning, and app development! Thanks for watching my video. I share new Data Science videos weekly, you can subscribe for more videos like this.
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Chapters
00:00 Introduction
00:26 Data Card
01:50 Data Science Project
39:49 Outro
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