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anime-face-generator-using-gan-finalproject-group2

Using Deep Learning to create a generator that produces various types of anime faces.

blood-cells-recognition

customer_order_analysis

This project is aim to analysis the customer orders.

datasets

female-olympic-participation

fifa-player-s-value-analysis

Utilizing data mining to realize how the players' value has been decided.

g20expenditures

This project is about visualizing the expenditure behavior of the 10 of the G20 countries, including Military, Healthcare and Education.

home-credit-default-risk

This project utilized Machine Learning through Python with sklearn package. The objective of this project is to use historical loan application data to predict whether or not an applicant will be able to repay a loan.

homicidereport

The major aim of the project is to visualize the statistics of the homicide reports, which includes more than 22,000 homicides.

hotel-booking-anlysis---cloud-computing-aws-

loan_interest_rate_prediction

The goal of this project is to predict the interest rate for each applicants.

portfolio_hungchunlin

https://hungchun-lin.github.io/Portfolio_HungChunLin/

stock-price-prediction-using-gan

In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this project to analyze the influence of News on stock prices.

suicide-rate-from-1985-to-2016

This is the report about the Suicide rate from 1985 to 2016, completed data cleaning, data mining and analysis with Python.

travel-insurance-prediction

Apply Bayesian analysis on predicting travel insurance claims or not.