Vidhi1290/Machine-learning-Pipeline

Explore a collection of Jupyter notebooks that guide you through various stages of the machine learning pipeline. From data analysis and feature engineering to model training and deployment, these notebooks provide practical insights for both beginners and experienced data enthusiasts. Let's dive into the world of data-driven decision-making! 📊🚀"

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This project helps data enthusiasts and aspiring data scientists understand and implement the entire machine learning workflow. You'll go from raw datasets to trained predictive models and learn how to use them for making data-driven decisions. It provides step-by-step guidance on data preparation, model building, and deploying models for real-world predictions.

No commits in the last 6 months.

Use this if you are a beginner or experienced data enthusiast looking for practical guidance on building and understanding end-to-end machine learning pipelines.

Not ideal if you are a senior machine learning engineer looking for advanced research or highly specialized niche solutions.

data-analysis predictive-modeling data-science-education model-deployment feature-engineering
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 6 / 25

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12

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1

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Jupyter Notebook

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Last pushed

Aug 29, 2023

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