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1. predicting-Paid-amount-for-Claims-Data predicting-Paid-amount-for-Claims-Data Public

   Introduction The context is the 2016 public use NH medical claims files obtained from NH CHIS (Comprehensive Health Care Information System). The dataset contains Commercial Insurance claims, and a…

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2. Predicting-Oil-Price-With-Time-Series- Predicting-Oil-Price-With-Time-Series- Public

   The goal of our analysis was to use different time series methods to predict the oil price for the last 6 months of the data, September 2017 through February 2018, and determine the best prediction…

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3. K-NN-Algorithm-From-Scratch K-NN-Algorithm-From-Scratch Public

   the challenge : write a KNN Algorithm that 1.Must be able to accept both numeric and categorical features. 2.Must at least perform classification, regression is optional. 3-Use Gower distance (Mink…

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4. Naive-Bayes-algorithm-From-Scratch Naive-Bayes-algorithm-From-Scratch Public

   replicating Naive Bayes algorithms from scratch that # Restrict to only categorical features # Give an error message if continuous features are provided # Function must have at least three paramete…

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5. Sentiment-Analysis-Project Sentiment-Analysis-Project Public

   The goal of this project is to apply various natural language processing and text mining techniques on tweets from the hashtag #facebook using word clouds and Bing/NRC lexicons

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6. stanford-cs-229-machine-learning stanford-cs-229-machine-learning Public

   Forked from afshinea/stanford-cs-229-machine-learning

   VIP cheatsheets for Stanford's CS 229 Machine Learning

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