Pinned Repositories
120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
abalone-analysis
awesome-graph
A curated list of resources for graph databases and graph computing tools
call-center-simulation
cancer-image-recognition
Classifying cancer images with convolutional neural networks
Chicago-Business-Intelligence
Home-Loan
nba-salary-prediction
Moneyball in NBA: Predicting NBA player salary
Python-multiple-linear-regression
This is a multiple linear regression model to analyze 50 startups in Python.
Stock-Analysis
taksug229's Repositories
taksug229/nba-salary-prediction
Moneyball in NBA: Predicting NBA player salary
taksug229/call-center-simulation
taksug229/Chicago-Business-Intelligence
taksug229/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
taksug229/abalone-analysis
taksug229/awesome-graph
A curated list of resources for graph databases and graph computing tools
taksug229/cancer-image-recognition
Classifying cancer images with convolutional neural networks
taksug229/hierarchical-group-sparse-regularization
Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
taksug229/Home-Loan
taksug229/mongo-db
Mongo DB
taksug229/Stock-Analysis
taksug229/postgres-creditscore
taksug229/practice
This is for practice
taksug229/Python-apriori-model
This is a apriori model to analyze top selling items in a grocery market using Python.
taksug229/Python-hierarchical-clustering
This is a hierarchical clustering model to cluster a mall's customer data using Python.
taksug229/Python-K-means-clustering
This is a K-means clustering model to cluster a mall's customer data using Python.
taksug229/Python-natural-language-processing
This is a natural language processing model to analyze and predict restaurant reviews using Python.
taksug229/Python-thompson-sampling-model
This is a reinforcement learning model. I used the thompson sampling model to optimize ad CTR using Python.
taksug229/Python-upper-confidence-bound-model
This is a reinforcement learning model. I used the upper confidence bound to optimize ad CTR using Python.
taksug229/R-apriori-model
This is a apriori model to analyze top selling items in a grocery market using R.
taksug229/R-eclat-model
This is a eclat model to analyze top selling items in a grocery market using R.
taksug229/R-hierarchical-clustering
This is a hierarchical clustering model to cluster a mall's customer data using R.
taksug229/R-K-means-clustering
This is a K-means clustering model to cluster a mall's customer data using R.
taksug229/R-natural-language-processing
This is a natural language processing model to analyze and predict restaurant reviews using R.
taksug229/R-thompson-sampling-model
This is a reinforcement learning model. I used the thompson sampling model to optimize ad CTR using R.
taksug229/R-upper-confidence-bound-model
This is a reinforcement learning model. I used the upper confidence bound to optimize ad CTR using R.
taksug229/resume
My latest resume
taksug229/SF-crime-analysis
taksug229/soccer-metrics
Conducted hypothesis tests to confirm statistical significance between Germany/Italy for the average number of 0 goal games.
taksug229/tweet-analysis