Name: Dr. Qazi
Type: User
Company: www.dataskillz.com
Bio: Accomplished data scientist, author, consultant, public speaker and a mentor.
Visit my LinkedIn to learn more!
https://www.linkedin.com/in/jqazi/
Location: Calgary, Alberta, Canada
Blog: https://www.linkedin.com/in/jqazi/
Dr. Qazi's Projects
Answers to 120 commonly asked data science interview questions.
TBrain 2019 AI Cup - Abstract Classification (Second Prize)
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning.
Just for sharing some files
Authoring Books and Technical Documents with R Markdown
Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence
Course Files for Complete Python 3 Bootcamp Course on Udemy
Dashboard showcasing Conjoint Analysis for the Electric Vehicle Lease Market (as at January 2020) in San Francisco
Files used to create the COVID-19 dashboard using Dash, Plotly and Bootstrap.
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Plotly Dash experiences
A template Plotly Dash app in Python, with basic user management & authentication
Wine Dash App
Kai Sheng Teh - Udacity Data Analyst Nanodegree
This repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.
Collection of useful data science topics along with code and articles
Machine learning datasets used in tutorials on MachineLearningMastery.com
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Jupyter notebooks for the code samples of the book "Deep Learning with Python"