bharatc9530/Machine-Learning
Data Visualization, EDA , Model Building and Deployment etc..
This resource provides practical code examples for common machine learning tasks, from preparing raw data to building predictive models. It takes your dataset through various statistical and AI techniques, ultimately producing insights and deployed models. It's designed for anyone learning about or applying machine learning to real-world data problems.
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Use this if you are a data science student, analyst, or researcher who needs hands-on code examples for various machine learning algorithms.
Not ideal if you are looking for a pre-built, ready-to-use application or a highly specialized library for a niche machine learning task.
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Jupyter Notebook
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Last pushed
Nov 21, 2022
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