znawfar

Predicting-House-Price

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

Data-Visualization-With-Python

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

Applied-Data-Science-Capstone

Customer-Churn-Analysis

Customer Churn Analysis for E-commerce Company

Predicting-Loan-Repayment-Using-ML

version 1.0.0

Car-Rental-Priceon-Demand

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.

computational-grounded-theory

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

Data-Collection-with-APIs-and-Webscraping

Data-Engineering-With-Python

znawfar/Predicting-House-Price

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

znawfar/Data-Visualization-With-Python

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

znawfar/Predicting-Loan-Repayment-Using-ML

version 1.0.0

znawfar/Applied-Data-Science-Capstone

znawfar/znawfar

Config files for my GitHub profile.

znawfar/Car-Rental-Priceon-Demand

znawfar/Predicting-Purchase-Patterns

znawfar/Visualizing-Stock-Data-Interactively

znawfar/Financial-Projections-of-Close-Months-P-L

znawfar/Customer-Churn-Analysis

Customer Churn Analysis for E-commerce Company

znawfar/Riskfolio-Lib

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

znawfar/Data-Collection-with-APIs-and-Webscraping

znawfar/SQL_Assignement_IBM

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

znawfar/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.

znawfar/computational-grounded-theory

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

znawfar/nlp-qrmine

:flashlight: Qualitative Research support tools in Python

znawfar/Data-Engineering-With-Python

znawfar/My-Jupyter-Notebook-on-IBM-Watson-Studio

znawfar/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)

znawfar/Pricing-optimization-Model

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