Pinned Repositories
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
clustering-university-types
use Kmeans Clustering to cluster universities into two groups, private and public
Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
dking21.github.io
dream-project
E-commerce-Customer-Analysis
Drawing insights from regression model to guide a client to right marketing direction
flask-brython-example
flask_brython_exercise
Creating and hosting a webpage using flask and brython
git-primer-checkpoint
look2social_spamfilter
Building a spam filter for Look2Social and academic achievement
dking21's Repositories
dking21/100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
dking21/clustering-university-types
use Kmeans Clustering to cluster universities into two groups, private and public
dking21/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
dking21/dking21.github.io
dking21/dream-project
dking21/E-commerce-Customer-Analysis
Drawing insights from regression model to guide a client to right marketing direction
dking21/flask-brython-example
dking21/flask_brython_exercise
Creating and hosting a webpage using flask and brython
dking21/git-primer-checkpoint
dking21/look2social_spamfilter
Building a spam filter for Look2Social and academic achievement
dking21/matplotlibassignment
dking21/moloco_takehome
This is Daniel Kim's take-home assignment for Moloco interview. I will take away this repo after the interview process.
dking21/nsmc
Naver sentiment movie corpus
dking21/numpy-100
100 numpy exercises (100% complete)
dking21/ramen_rating_analysis
This is a project to identify the relationship of ramen variety and rating using Natural Language Processing and Regression Modeling.
dking21/stock_prediction_deep_learning
using deep learning to predict future stock price
dking21/webdevhack
Galvanize DSI W6D5 Webdev Exercise
dking21/wine-recommender
building a wine recommending system