prakhar21/50-Days-of-ML
A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects
This plan provides a structured, day-by-day guide for anyone looking to learn machine learning from the ground up. It takes you from foundational concepts like data analysis with Pandas and basic linear algebra, through various machine learning algorithms like Linear Regression, KNN, Naive Bayes, and Decision Trees, up to advanced topics like ensemble techniques and model evaluation. The ideal user is an aspiring data scientist or analyst who needs a clear, actionable curriculum to master core machine learning skills, without being overwhelmed by choices.
258 stars. No commits in the last 6 months.
Use this if you are a beginner looking for a comprehensive, self-paced curriculum to learn machine learning concepts and practical implementations over a structured period.
Not ideal if you are an experienced machine learning practitioner seeking advanced research topics or a reference for highly specialized algorithms.
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Last pushed
Dec 12, 2019
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