Machine Learning Workshop – July 2016
The workshop was focused on getting started with machine learning using
scikit-learn. Amol Agarwal started workshop with basics of numpy & matplotlib. He then explained what is machine learning, supervised and unsupervised learning.
After that, he explained several topics including classifiers, SVM, regression, clustering and validation. He showed machine learning use cases with examples like spam classification and facial recognition.
Content of workshop is available on github.
Here are few pictures from the workshop:
Thanks to Amol Agarwal for taking workshop and AdNear for hosting the event.