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Tutorial 3 Introduction to Natural Language Processing Decision Trees Random Forests

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Lessons List | 7 Lesson

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31 Reviews

Suhana Kousar

gud 2025-08-29

Sajja divya Sajja divya

GOOD it is useful 2025-08-29

Dhanusu

very excellent it very help full for me 2025-08-28

SAYYAD ISMAIL AHEMAD

Excellent 2025-08-28

Saeed Laghari

It is okay for a person who know a bit about python but when someone comes to learn from zero for that person it could be little bit difficult to understand because your way of teaching and pronouncing words and also there is not sound receiving clear to the audience so I recommend that everything should be fixed 2025-08-14

Shankar Biradar

Nice 2025-08-13

DILKHUSH KUMAR

I'm very happy to completing this course. 2025-08-12

Sivaji allu

Very very useful 2025-08-09

sarvesh

Nice cource , Improve my knowledge. 2025-08-05

Zainabul Gazali

Great 2025-08-02

Wiktoria

great 2025-07-27

Deepisha Chavan

good 2025-07-21

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Course Description

Python for data science, in this course we will learn how to use Python effectively for data science tasks and real-world data analysis. We’ll begin with Python fundamentals such as variables, data types, lists, dictionaries, loops, and functions. Then, we’ll dive into key libraries like NumPy for numerical computing, Pandas for data manipulation, and Matplotlib and Seaborn for data visualization. You’ll also explore techniques for data cleaning, merging, and aggregating datasets. This course provides practical exercises to work with real datasets and prepares you to handle tasks such as exploratory data analysis, basic statistics, and presenting insights. Whether you're preparing for a career in data science or enhancing your data skills, this course offers a strong foundation in Python and its ecosystem. Nation Innovation