66Days__NaturalLanguageProcessing and 66Days_MachineLearning
These are complementary learning resources that cover overlapping but distinct domains—NLP is a specialized application area within the broader ML curriculum, so a learner might progress from the general ML foundations in one to the NLP-specific techniques in the other.
About 66Days__NaturalLanguageProcessing
ThinamXx/66Days__NaturalLanguageProcessing
I am sharing my Journey of 66DaysofData in Natural Language Processing.
This project offers a structured learning path for anyone looking to understand and apply natural language processing (NLP) techniques. It provides a collection of resources, including books, research papers, and practical code examples, to help you process and analyze text data. It's designed for data scientists, machine learning engineers, and researchers who want to build applications that understand human language.
About 66Days_MachineLearning
regmi-saugat/66Days_MachineLearning
I am sharing my journey of 66DaysOfData in Machine Learning
This project offers a practical guide to core machine learning concepts and algorithms, explained with clear examples. It demonstrates how to apply techniques like Logistic Regression for classifying binary outcomes or Random Forests for making predictions using decision trees. It is ideal for anyone starting their journey in machine learning, aiming to understand how these algorithms work and how to implement them for various data analysis tasks.
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