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Udemy
Applied Machine Learning in R
<p><strong>This course offers you practical training in machine learning, using the R program.</strong> <strong>At the end of the course you will know how to use the most widespread machine learning techniques to make accurate predictions and get valuable…
TOP PYTHON PROJECTS WITH SOURCE CODE
Coz it's your time to steal the spotlight 💯🔥🔝🆕
https://data-flair.training/blogs/python-project-ideas/
Coz it's your time to steal the spotlight 💯🔥🔝🆕
https://data-flair.training/blogs/python-project-ideas/
DataFlair
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Work on real-time Python Projects for college students, intermediates and advanced level to boost your career & strengthen your resume
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Channel name was changed to «Learn data science and Machine Learning»
👩🏻💻 Why should one study Linear Algebra for ML?
👉🏼 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.
👉🏼 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! 🎉
👉🏼 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.
👉🏼 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! 🎉
❤1👍1
Do you want more books recommendations?
Anonymous Poll
27%
No, only provide online courses
73%
Yes, books are great source for learning
Which step is done just after collecting data?
Anonymous Quiz
10%
Predictive data analysis
21%
Data visualization
69%
Data cleaning
Today's free course [Free for limited time]
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❤1
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-leàrn
🔰Python Cheat Sheet for all Programmers🔰
Top 15 Cheat Sheets for Machine Learning, Data Science & Big Data
🖇Link : https://anonfiles.com/zcLcO0G5oc/Python_Top_15_Cheat_Sheets_for_Machine_Learning_Data_Science_Big_Data_rar
Share and support us
Top 15 Cheat Sheets for Machine Learning, Data Science & Big Data
🖇Link : https://anonfiles.com/zcLcO0G5oc/Python_Top_15_Cheat_Sheets_for_Machine_Learning_Data_Science_Big_Data_rar
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