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balzac-for-jekyll

Your favorite AnchorCMS theme, now for Jekyll!

boston_house_price_prediction

Predict house price in Boston using linear regression

ctc

data_wrangling_json

Explore data in a .json file by importing it using pandas and json normalize

data_wrangling_xml

Explore data in a .xml file though xml.etrees`s ElementTree

generator-jhipster

Open Source application generator for creating Spring Boot + Angular/React projects in seconds!

geojson_interactive_map

This notebook walks through creating interactive maps using geoJSON multipolygons, Bokeh patches and a slider with a callback function

hospital_readmissions_analysis

Exploratory data analysis to provide recommendations for reducing readmissions rate into hospitals

human_body_temperature

Is mean normal human temperature 98.6 F? Exploratory data analysis proves it.

k_means

Customer segmentation using k-means

keepup

data science interview challenge by Keep Up Inc.

logistic_regression

About logistic regression using scikit-learn and apply it to build a model to classify gender based on height, weight

ml-lab

mock-repository

naive_bayes

Text analysis using a subset of movie reviews from the rotten tomatoes database

naveenrc.github.io

new_york_citibikes

Explore NYC citi bikes data and predict number of rides, stations that need immediate assistance

pandassql

Query pandas dataframe using pandasql

pyspark_exercise

Simple word count example and gender prediction based on weight, height

python-flask-es-test

Cherry Lab Python Programming test; based on Flask/Elasticsearch

racial_discrimination_analysis

Perform statistical analysis to establish whether race has a significant impact on the rate of callbacks for resumes

relaxchallenge

data science interview challenge by Relax Inc.

sparse

Sparse multi-dimensional arrays for the PyData ecosystem

speedchallenge

Calculate speed of a car from dashboard camera video using Dense optical flow

spoon-knife

This repo is for demonstration purposes only.

terrorism-analysis

Analyze terrorism data from 1970 to 2016 and build a model to predict responsible terrorist group

timeseriesanalysiswithpython

transfer-learning

Use Pretrained VGG16 to train stl10 dataset in Keras

ultimatetakehomechallenge

data science interview challenge by Ultimate Inc.

yelpchallenge

NLP on 3M reviews & Image classification on 200k images