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Machine Learning and Data Science

Track :

Programming

Lessons no : 5

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What will you learn in this course?
  • Develop practical skills in data analysis, visualization, and interpretation using machine learning techniques and data science tools
  • Apply supervised and unsupervised machine learning algorithms to real-world datasets for predictive modeling and clustering
  • Implement data preprocessing, feature engineering, and model evaluation to improve machine learning model accuracy and robustness
  • Utilize programming languages like Python and R to build, test, and deploy data science and machine learning models effectively

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Lessons | 5


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4.4
129 Reviews

Túlio Cícero Wiles Notari

good introduction
2026-02-03

Shrrivathsan S

I am happy to share that I have successfully completed this course! The curriculum was well-structured.
2026-01-28

Snehal

I am happy to share that I have successfully completed this course! The curriculum was well-structured, moving seamlessly from foundational concepts to advanced applications. I particularly appreciated the hands-on projects, which allowed me to apply theoretical knowledge to real-world scenarios. This course has significantly boosted my technical confidence and provided me with a solid framework for my future career in engineering
2026-01-23

Akshit Kashyap

nice
2026-01-19

Thivya Sri

LESSONS ARE PRETTY GOOD
2026-01-19

Sanjith

Very useful
2026-01-13

VASANTH R

Excellent
2026-01-13

HARITHA K N

I get to learn the fundamentals of machine learning. It was a good course.
2026-01-12

Pradip Kumar Verma

good
2026-01-10

T KOWSHIK

Excellent
2026-01-07

Ifeoluwa Olukayode

good
2026-01-06

maria jahan

Great
2026-01-02

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Data science is the field that studies data and how to extract meaning from it while machine learning focuses on tools and techniques for building models that can learn by themselves by using data .