First Meetup:
- Where: Coffee Bean
- When: 4/11/17
- Topic: Introduction to machine learning algorithms. Review of machine learning map provided by Scikit-Learn and can be found here:
http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html#sklearn.feature_extraction.text.TfidfVectorizer.get_feature_names
Second Meetup:
- Where: Ticketmaster
- When: 4/25/17
- Topic: Deeper dive into regression and classification algorithms. Walk-through of several examples: how to explore the data and solve a classifcation problem.
Third Meetup:
- Where: Operam
- When: 5/16/17
- Topic: Guest speakers Charlie Marshak and Roman Gavuliak who spoke about Page Rank and Data in Production. Youtube video can be found here:
https://www.youtube.com/watch?v=8KRW6jwduLI&feature=youtu.be
Fourth Meetup:
- Where: Ticketmaster
- When: 6/6/17
- Topic: Meetup lead by Liz.
Fifth Meetup:
- Where: Ticketmaster
- When: 7/18/17
- Topic: Focus on natural language processing with Python, namely implementation of TF-IDF as a means of extracting insights from text data. Refer to tf-idf example folder for more.
Sixth Meetup:
- Where: Ticketmaster
- When: 8/15/17
- Topic: Focus on Encryption and Decryption with Python. Specifically, we maximize the Log-Likihood loss function using the Metropolis Algorithm. Refer to decryption example folder for more.
Seventh Meetup:
- Where: Ticketmaster
- When: 10/17/17
- Topic: This week we talk about 3 different ensemble methods: Bagging, Boosting and Stacking. We discuss the benefits of ensemble methods and run through an example of Bagging using Sonar data from scratch in Python.
I am always open to your feedback! Feel free to email me at with any machine learning questions or suggestions for the next meetup: sarah@opearm.com