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applied-data-science-capstone

car-rental-priceon-demand

computational-grounded-theory

Code to reproduce analysis done in the article Computational Grounded Theory: A Methodological Framework

customer-churn-analysis

Customer Churn Analysis for E-commerce Company

data-collection-with-apis-and-webscraping

data-engineering-with-python

data-visualization-with-python

This repo addresses my homework for the course called "Data Visualization with Python"

financial-projections-of-close-months-p-l

my-jupyter-notebook-on-ibm-watson-studio

nlp-qrmine

:flashlight: Qualitative Research support tools in Python

nmt-with-attention

I have implemented encoder-decoder based seq2seq models with attention. The first aim for this implementation is to work towards computational grounded theory and thematic analysis using NLP and deep learning. Hence here is the first step.

predicting-house-price

In this repo, I worked on several regression analyses aiming at assessing the house prices using 80 features (columns) of data.

predicting-loan-repayment-using-ml

version 1.0.0

predicting-purchase-patterns

pricing-optimization-model

Optimize revenues through pricing algorithm in python - Demand with uniform distribution

python_portfolio__var_tool

Python-based portfolio / stock widget which sources data from Yahoo Finance and calculates different types of Value-at-Risk (VaR) metrics and many other (ex-post) risk/return characteristics both on an individual stock and portfolio-basis, stand-alone and vs. a benchmark of choice (constructed with wxPython)

riskfolio-lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

sql_assignement_ibm

In this repo, I have shared my assignement for "Databases and SQL for Data Science with Python" course.

visualizing-stock-data-interactively

znawfar

Config files for my GitHub profile.