Data Science & Machine Learning
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Do you want to learn from books?
Anonymous Poll
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Yes
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Channel name was changed to Β«Learn data science and Machine LearningΒ»
πŸ‘©πŸ»β€πŸ’» Why should one study Linear Algebra for ML?

πŸ‘‰πŸΌ Clearly, to develop a better intuition for machine learning and deep learning algorithms and not treat them as black boxes. This would allow you to choose proper hyper-parameters and develop a better model. You would also be able to code algorithms from scratch and make your own variations to them as well.

πŸ‘‰πŸΌ Learn Linear Algebra for Machine Learning with:

Khan Academy: https://www.khanacademy.org/math/linear-algebra

Udacity: https://www.udacity.com/course/linear-algebra-refresher-course--ud953

Coursera: https://www.coursera.org/learn/linear-algebra-machine-learning

Here are some amazing freely available ebooks on the same topic:

Mathematics for Machine Learning: https://mml-book.github.io/book/mml-book.pdf

An Introduction to Statistical Learning: https://faculty.marshall.usc.edu/gareth-james/ISL/

Happy machine learning! πŸŽ‰
❀1πŸ‘1
Which step is done just after collecting data?
Anonymous Quiz
10%
Predictive data analysis
21%
Data visualization
69%
Data cleaning
Building the Machine Learning Model
❀1
Data science Tools
Which of the following is an important library or framework for data visualization using PYTHON? [Not Machine learning]
Anonymous Quiz
6%
Keras
13%
Tensorflow
71%
Matplotlib
10%
Scikit-leΓ rn
πŸ”°Python Cheat Sheet for all ProgrammersπŸ”°

Top 15 Cheat Sheets for Machine Learning, Data Science & Big Data

πŸ–‡Link : https://anonfiles.com/zcLcO0G5oc/Python_Top_15_Cheat_Sheets_for_Machine_Learning_Data_Science_Big_Data_rar

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