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airlines-twitter-sentiment-analysis

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

buoypy

Retrieve NDBC data

customer-segmentation-and-inferential-analytics

datamodeling_zillowdataset

1. Created database schema in MySQL for a public data-set available from Zillow, a leading real estate company. 2. Transformed the data to comply with the schema normalization rules using pivot, VBA in MS Excel and imported the data into the database using Python. 3. Extracted insights, identified market segments by querying the database using SQL which can be used to identify target areas for expansion and tailored advertising.

dscchallenge

DataScience Club Challenge - UT Dallas - Mar 2019

energy-efficiency-of-building---neural-networks

This study looked into assessing the heating load and cooling load requirements of buildings (that is, energy efficiency) as a function of building parameters.

house-price-prediction

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

machinelearning-cardiacarrhythmia

1. Classified data of 452 patients into 14 known classes of “Cardiac Arrhythmia” using SVM, Random Forests, KNN Regression, PCA algorithms, and advanced Ensemble and Boosting techniques, with 92.53% accuracy. 2. Implemented “Data Wrangling” techniques to handle missing and irrelevant data using Pandas, NumPy packages in Python.

waveforecasting