100-Days-Of-ML-Code and 50-Days-of-ML
These are **competitors** offering alternative structured timelines for self-paced ML education—a learner would choose either the 100-day curriculum or the 50-day curriculum based on available time and intensity preference, not use both simultaneously.
About 100-Days-Of-ML-Code
harunurrashid97/100-Days-Of-ML-Code
A day to day plan for this challenge. Covers both theoritical and practical aspects
This resource provides a structured, day-by-day guide to learning machine learning concepts and practical application. It includes theoretical explanations, code examples, and thought processes for various ML tasks, helping you build foundational knowledge and hands-on skills. It is designed for individuals who want to embark on a journey to learn machine learning through consistent daily practice.
About 50-Days-of-ML
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.
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