Agile Machine Learning: Effective Machine Learning Inspired by the Agile Manifesto (2019)

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📌Free useful resources to learn Machine Learning

▪️Google
https://developers.google.com/machine-learning/crash-course

▪️Leetcode
https://leetcode.com/explore/featured/card/machine-learning-101

▪️Hackerrank
https://www.hackerrank.com/domains/ai/machine-learning

▪️FreeCodeCamp
https://www.freecodecamp.org/learn/machine-learning-with-python/

▪️Kaggle
https://www.kaggle.com/learn/intro-to-machine-learning

https://www.kaggle.com/learn/intermediate-machine-learning

▪️Geeksforgeeks
https://www.geeksforgeeks.org/machine-learning/

▪️Create ML Models
https://docs.microsoft.com/en-us/learn/paths/create-machine-learn-models/

▪️Machine Learning Test Cheat Sheet
https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/

🔻Learn from YouTube❗️
https://m.youtube.com/channel/UC2teOyP_yekDu9CPV3DvLPA
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Abdullah Karasan - Machine Learning for Financial Risk Management with Python_ Algorithms for Modeling Risk-O'Reilly Media (2022).pdf


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🖥 Roadmap of free courses for learning Python and Machine learning.

▪Data Science
▪ AI/ML
▪ Web Dev

1. Start with this
https://kaggle.com/learn/python

2. Take any one of these

❯ https://openclassrooms.com/courses/6900856-learn-programming-with-python

❯ https://scaler.com/topics/course/python-for-beginners/

❯ https://simplilearn.com/learn-python-basics-free-course-skillup

3. Then take this
https://netacad.com/courses/programming/pcap-programming-essentials-python

4. Attempt for this certification
https://freecodecamp.org/learn/scientific-computing-with-python/

5. Take it to next level

❯ Data Scrapping, NumPy, Pandas
https://scaler.com/topics/course/python-for-data-science/

❯ Data Analysis
https://openclassrooms.com/courses/2304731-learn-python-basics-for-data-analysis

❯ Data Visualization
https://kaggle.com/learn/data-visualization

❯ Django
https://openclassrooms.com/courses/6967196-create-a-web-application-with-django

❯ Machine Learning
http://developers.google.com/machine-learning/crash-course

❯ Deep Learning (TensorFlow)
http://kaggle.com/learn/intro-to-deep-learning

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Learning Ray.
Flexible Distributed Python for Machine Learning. 2023
Max Pumperla,
Edward Oakes & Richard Liaw Foreword by Ion Stoica

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Vodafone is hiring Data Engineer

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Machine Learning types

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Machine Learning & Data Science from Caltech

This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to adaptively improve their performance with experience accumulated from the observed data. ML has become one of the hottest fields of study today, taken up by undergraduate and graduate students from more than 20 different majors at Caltech. This course balances theory and practice, and covers the mathematical as well as the heuristic aspects.

⏰ Free Online Course
🎬 18 Video lessons
📁 downloadable resources
🏃‍♂️ Self paced
Offered by: Caltech

🔗 Course link

#Machine #Leaning #machinelearning #data_science
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MIT machine learning course.  Duration: 13 weeks.
Published: December 2020.
Type: open-source.
https://openlearninglibrary.mit.edu/courses/course-v1:MITx+6.036+1T2019/about

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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn and TensorFlow [source code]


Author(s): Sebastian Raschka, Vahid Mirjalili

Publisher: Packt,

Year: 2017

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