Update README.md

README.md

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   - creating machine learning regression models
   - model refinement
   - creating data pipelines.
-> Link: [IBM course](https://www.coursera.org/learn/data-analysis-with-python)
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+  > Link: [IBM course](https://www.coursera.org/learn/data-analysis-with-python)
 * #2 - Going through a basic and general study of ML .
 
   This course will begin with a brief introduction to Machine Learning and what it is, with topics such as supervised and unsupervised learning, linear and nonlinear regression, simple regression, and more.
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   With all the many concepts you will learn, great emphasis will be placed on hands-on learning. You will work with Python libraries, such as SciPy and scikit-learn, and apply your knowledge in laboratories.
   > Link: [IBM course](https://www.coursera.org/learn/machine-learning-with-python) 
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 * #3 - And finally, delving deeper into neural networks through a "Lecture Series" given by Prof. Dr. Florian Marquardt.
-> Link :https://pad.gwdg.de/s/Machine_Learning_For_Physicists_2021
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+  > Link :https://pad.gwdg.de/s/Machine_Learning_For_Physicists_2021