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ai-hackathon-bangalore

amazon-review-classification_deeplearning

Classification model using LSTM Bidirectional model of Amazon review data from kaggle data https://www.kaggle.com/bittlingmayer/amazonreviews

baselineremoval

Perform baseline removal, baseline correction and baseline substraction for raman spectra using Modpoly, ImodPoly and Zhang fit. Returns baseline-subtracted spectrum. Please give proper citation as specified in the documentation if it has helped you.

context_free_grammar-noun_adjective_pairs

Use of context free grammar chunk rules to find noun-adjective pair from text.

feature-engg-selection-for-explainable-models.github.io

HTML version of the book Feature Engineering & Selection for Explainable Models A Second Course for Data Scientists

feature_engineering_and_selection_for_explanable_models

Code repository for the machine learning book Feature Engineering & Selection for Explainable Models: A Second Course for Data Scientists

flask-deep-learning-nlp-api

Flask API to productize a document classification model. Classification model was built using Keras with tensorflow backend

metaheuristicsfs

Metaheuristics feature selection library for machine learning feature selection. Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization, and Ant Colony Optimization

ml_theory

Theory for machine learning

pandas2shp

Python package code repo for Pandas2Shp. Create shp file for geo-spatial analysis from longitude and latitude

semantic_search_meetup

Combining NLP and elasticsearch for building semantic search application

sngramextractor

Python package code repo for Implementation of syntactic n-grams (sn-gram) extraction

target-ai-meetup-dependency-parsing

Powerpoint and jupyter notebook for meetup

test

textfeatureselection

Python library for feature selection for text features. It has filter method, genetic algorithm and TextFeatureSelectionEnsemble for improving text classification models. Helps improve your machine learning models