sharanyaa Goto Github PK

android_real_estate_app

Android app

artificial_intelligence_cpp

Uninformed Search, Reversi Game Playing Agent, Inference Learning

bash-it

A community Bash framework.

bloom_filter_python_implementation

coding-challenge

Challenge for Insight Data Engineering

component_management

Salesforce RPT

coursera_python

Interactive games built in Python, run on CodeSkulptor.org

csharp_excel_to_csv

C# Project for Kaggle - Convert Excel file to CSV file

grok_sdi_educative

Grokking the System Design Interview Course

insight_coding_challenge

My submission for coding challenge of Insight Data Engineering Fellowship Spring 2016

job-search-site

mean-stack-app

ml-coursera

ml_digitrecognizer

ml_titanic_project

nlp_naivebayes_textclassifier

Language: Python Created a naive Bayes text classifier (nblearn.py, nbclassify.py) and compared accuracy with two popular machine learning toolkits. Worked with two datasets (emails and IMDB reviews) and performed binary classification: SPAM or HAM (not spam), and POSITIVE or NEGATIVE (sentiment analysis). Compared three machine learning techniques for making these classifications: naive Bayes classification, maximum entropy modeling, and support vector machines (MegaM and SVM-Light). report.txt - contains detailed instructions about the sequence of scripts to run and what cmd arguments to pass each python script.

react-app

techlibrary

web_development

Website for real estate search, powered by Zillow.com