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A Practical Guide to Begin ML in Python – Joseph



Data Science Club at UT Dallas presents our very first training program “A Practical Guide to Begin ML in Python”

Useful Links
(1) Udemy: https://udemy.com

(2) Kaggle: https://kaggle.com

(3) GitHub: https://github.com

(4) MIT OpenCourseWare Linear Algebra: https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/index.htm

(5) Khan Academy Linear Algebra: https://www.khanacademy.org/math/linear-algebra

Books Recommended
(1) An Introduction to Statistical Learning: with Applications in R(Springer)

(2) Hands-On Machine Learning with Scikit-Learn and TensorFlow(O’Reilly)

YouTube Video Links
(1) Learn Machine Learning in 3 Months (with curriculum) – Siraj Raval

(2) A Day In The Life Of A Data Scientist – Joma Tech

(3) 3Blue1Brown https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw

(4) Data Scientist Interview Tips & Career Advice (Uber, ex-Amazon) – Springboard

(5) R vs Python | Best Programming Language for Data Science and Analysis – Edureka!

(6) Data Analyst vs Data Engineer vs Data Scientist | Data Analytics Masters Program – Edureka

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