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Popular repositories

  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…

    Jupyter Notebook 20 11

  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…

    Jupyter Notebook 1 3

  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…

    Jupyter Notebook 1 1

  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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