Jiaqiang Yi's Projects
A deep learning application using FastAI, trained on a database of all reddit "Am I The ***hole" posts
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
The repository concerns the fuel efficiency analysis of different vehicles from different manufacturers based on the data from the Depart of Energy, US.
A Python application and tutorial that use Flask framework to provide a REST API to receive requests from the UI. The API then persists the data to a Cloudant database.
Demo for the part 1 of the tutorial on pychain
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Interactive Tools for Machine Learning, Deep Learning and Math
an intermediate Python course
A general introduction of the staff used in data science
Lab Materials for MIT 6.S191: Introduction to Deep Learning
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
Landmark Papers in Machine Learning
Content for Udacity's Machine Learning curriculum
:speech_balloon: Machine Learning Course with Python
Plain python implementations of basic machine learning algorithms
This repo concerns a cluster analysis of mental health condition in tech industry
This is a not-for-profit machine learning boot camp organized by CADASA and GDG Edmonton. All materials are referenced from open-source resources and provided by course leaders of the boot camp.
Open Machine Learning Course
Model analysis tools for TensorFlow
Repository to accompany talk at edmontonpy
nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.
OpenRefine is a free, open source power tool for working with messy data and improving it
Resources for Python Crash Course, from No Starch Press.
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
All Algorithms implemented in Python
The "Python Machine Learning (1st edition)" book code repository and info resource
A story about optimizing some python code