: Quandl Implementation: web app References: m Guides: An Introduction to Stock Market Data Analysis with Python I hope you enjoy these toy problems in data science! Spam lives wherever its possible to leave messages. A data science engine can predict exchange rates and stocks, so traders or bots can gamble based on these predictions. The goals is to find a gap between ML prediction and a bookmakers evaluation, which gives a chance to win.
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Org ML problem: recommender systems Algorithms: dimensionality reduction, collaborative filtering, classification algorithms Technologies: sklearn, vowpal wabbit Data: Netflix prize dataset, MovieLens dataset Implementation: web application References: Jinni, MovieLens Guides: Quick Guide to Build a Recommendation Engine in Python Original Snapchat lenses If you are good. ML problem: text classification, algorithms: naive bayes, linear classifiers, tree classifiers, whatever-you-want classifiers. If you choose to pre-pay for the entire program, you receive a discount on the total registration cost. Gif: m/en-GB/a/lenses1 Lenses detect key facial points to show where the borders of the lips, eyes, nose, and face are. Technologies: sklearn, nltk, scrapy, data: sms spam dataset, e-mail spam dataset, comments spam dataset, implementation: browser extension, references: AdBlock, Adguard. EdX truly regrets that US sanctions prevent us from offering all of our courses to everyone, no matter where they live. Cookies, Privacy and Terms 2018, indeed. If you know some more relevant ML projects, please share them in the comments below and I will include them in an article. Unfortunately, learners from Iran and Cuba will not be able to register for this course. Any social network has such things in their arsenal Instagram, Facebook, and Snapchat. Share on Facebook, share on Google, data scientists are one of the most hirable specialists today, but its not so easy to enter this profession without a Projects field in your resume. Its a good data scientist problem for feature engineering!