Repo for a applied data science project/Spring 2018.

Data journalism on Times Person of the Year archive dataset

Exploratory analysis about FIFA World Cup using R - Dataset from Kaggle

Exploratory Data Analysis on US Honey production data from kaggle for the years 1998-2012

This a project I did with a university colleague for our seminar "Applied Deep Learning for Natural Language Processing" at TUM.

Restaurant revenue prediction implementation through SparkML

KaggleStruggle

Analysing "Diamonds" dataset from Kaggle

Kaggle Dataset on Quotes Analysis and Visualization With Python, Pandas and MatplotLib Using Jupyter Notebook.

To analyze the changing patterns in the trends and music interests among the people and the composers and directors since 2010. This lets us understand the shift in music culture and audience interest. The data taken into consideration is gathered from the statistics of top charts released by Spotify annually in public interest.

Shiny application displays descriptive statistics and data analysis of Kaggle suicide data.

Predict win rate

Chronic Disease Control Data Analysis and Visualization

Predicting no show for medical appointments

Perform in depth EDA and create machine learning model using XGBoost that can predict the price of a house in King Country, USA.

신용카드 부정 사용 감지 데이터 분석

This repo contains examples of simple LSTMs using pytorch-lightning.