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Andrew Kwon's Projects

bootstrapping_for_regression_tasks icon bootstrapping_for_regression_tasks

Project for building a linear regression model to predict estimated profits, calculate 95% confidence interval, and risk of loss for a mining company.

data_collection_and_storage icon data_collection_and_storage

This project is a demontration of tasks for data collection from various sources and conducting data analysis on the results.

knn_linear_algebra icon knn_linear_algebra

An evaluation of a classification model using the k-nearest neighbors algorithm and analytical proof for data masking in linear regression.

numerical_methods icon numerical_methods

Trains, tunes, and evaluates different regression models to develop a time-efficient, high-quality model for predicting car prices based on RMSE and CPU runtime.

predict_customer_churn icon predict_customer_churn

Classification task for machine laerning models to predict customer churn for a telecom company. Includes EDA, work plan, and model training/evaluation/comparison.

predict_gold_recovery icon predict_gold_recovery

Project compares three regression models for predicting the amount of gold recovered from gold ore in order to optimize gold production and eliminate unprofitable parameters. Data provided by Zyfra.

question-answer-app icon question-answer-app

Question and Answer web applicaiton using fine-tuned and pre-trained T5 models. Application runs on Streamlit.

sentiment_analysis icon sentiment_analysis

Using sentiment analysis and various techniques, this project trains different models to classifiy positive and negative movie reviews.

statistical_data_analysis icon statistical_data_analysis

Statistical data analysis, data visualization, and hypothesis testing on customer usage data for the telecom company, Megaline.

time_series_analysis icon time_series_analysis

Time series analysis and regression model to predict the number of taxi rides ordered in the next hour.

video_game_sales icon video_game_sales

Exploratory and statistical data analysis project on global video game sales from 1980-2016.

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