Jiaqiang Yi's repositories
Mental_Health_in_Tech
This repo concerns a cluster analysis of mental health condition in tech industry
ML-Boot-Camp-2020
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.
Shopify_project
This project explains the though process to answer shopify interview questions.
99-ML-Learning-Projects
A list of 99 machine learning projects for anyone interested to learn from coding and building projects
bayesianprobabilitiesworkshop
A collection of questions and solutions to problems presented at Rasmus BĂĄĂĄth's Bayesian probabilities workshop.
Common-error-in-python
A record of concepts that are easy to misunderstood
cs-video-courses
List of Computer Science courses with video lectures.
data_science_summary
It concerns the left exclusive join of two tables without primary keys via sql or pandas
Datajacker
This repo contains introduction of Jiaqiang Yi as a data scientist.
Datajacker.github.io
To learn about github, this is the first repository created from the guide.
deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
Disaster_Response_Web_App
This app utilized the dataset from Figure 8 and built up a natural language process pipeline to help disaster response.
feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
fuel_efficiency_analysis
The repository concerns the fuel efficiency analysis of different vehicles from different manufacturers based on the data from the Depart of Energy, US.
get-started-python
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.
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
learning-papers
Landmark Papers in Machine Learning
machine-learning
Content for Udacity's Machine Learning curriculum
prettymaps
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
Python
All Algorithms implemented in Python
pytorch-Deep-Learning
Deep Learning (with PyTorch)
ray_tutorial
An introductory tutorial about leveraging Ray core features for distributed patterns.
rugby-score-prediction
An end-to-end machine learning web app to predict rugby scores (Pandas, SQLite, Keras, Flask, Docker)
scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
udacity_class_questions
This repository includes all the questions I have encountered while working on the data science program on Udacity