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algorithm-java

All Algorithms implemented in Java

algorithms-python

All Algorithms implemented in Python

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

data

Data and code behind the stories and interactives at FiveThirtyEight

digital-wallet

fansite-analytics-challenge

find-political-donors

gensim

Topic Modelling for Humans

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hotels_reviews_analysis

Analyzed customer reviews given to hotels and identified hotels with highest number of reviews, countries which has most review, average User ratings, also the months when people travel most identified topics that have been mentioned about hotels using Latent Dirichlet Allocation algorithm (LDA). Along with the topics I also identified the sentiments of the reviews that allow me to correlate if the topic was positive or negative.

insight_data_engineering_project

insultclassification

Detecting Insults in Social Commentary - Kaggle Imperium

intro_to_ml-futurelabs

ML primer workshop @ Future Labs AI Summit

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

ling583_statistical_methods_textual_analysis

This repo has notes from LING583 course

mis620_airbnb_project

patients_review_summarizer

personal

Contains Jupiter Notebooks of stuff I am working on.

predicting_flight_depature_delay

predictingmedianhouseprice

Predicting median house price in CA districts

projects

Personal projects

salesprediction

Predicting Sales Price of Items during Black Friday

scikit-learn

scikit-learn: machine learning in Python

spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

travel-insight

REST API to generate Travel insights from travel sub-reddits

yelp_review_analysis

Analyzed user reviews from yelp to perform natural language processing such as analyzing lexical diversity in the text, linguistic trends in various states over a time period. Identified aspects by performing sentence segmentation and tokenization, Part of Speech tagging (POS), dependency parsing and Named Entity Recognition (NER) and Latent Dirichlet Allocation algorithm (LDA) to identify topics in the corpus