This tutorial teaches Machine learning with Python from scratch using project based approach.
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Python Fundamentals,Python Installation , PyCharm IDE , Running your first program , Data types , Commenting , Functions , Whitespaces and Indentation.
List , Arrays , Array vs List , Index , Range , Negative Indexing , For loops , IF conditions ,PEP File IO , Casting , External libraries , classes and Objects
Machine Learning basics, Vectors , Features , Labels , BOW ( Bag of words), SkLearn , Stopwords, Transform ,Fit , Zip and UnZip.
Numpy,Pandas , Numpy vs Pandas , Corpus , Documents , Terms , TF , IDF , TFIDF , CSR Matrix , COO matrix and Executing Article auto tagging project.
This comprehensive Python for beginners using sample projects. curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Python for beginners using sample projects. course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Shivprasad Koirala
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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