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reddit
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BTC_Half_year_price.csv
BTC_Half_year_price.csv
 
 
BTC_Last_month_price.csv
BTC_Last_month_price.csv
 
 
BTC_Last_quarter_price.csv
BTC_Last_quarter_price.csv
 
 
BTC_Last_year_price.csv
BTC_Last_year_price.csv
 
 
DASH_Half_year_price.csv
DASH_Half_year_price.csv
 
 
DASH_Last_month_price.csv
DASH_Last_month_price.csv
 
 
DASH_Last_quarter_price.csv
DASH_Last_quarter_price.csv
 
 
DASH_Last_year_price.csv
DASH_Last_year_price.csv
 
 
DJI_Half_year_data.csv
DJI_Half_year_data.csv
 
 
DJI_Last_month_data.csv
DJI_Last_month_data.csv
 
 
DJI_Last_year_data.csv
DJI_Last_year_data.csv
 
 
DOGE.py
DOGE.py
 
 
DOGE_Jamaica_Olympics_data.csv
DOGE_Jamaica_Olympics_data.csv
 
 
DOGE_Nascar_data.csv
DOGE_Nascar_data.csv
 
 
DataAnalysis.py
DataAnalysis.py
 
 
Data_clean.ipynb
Data_clean.ipynb
 
 
Data_pick.py
Data_pick.py
 
 
DigitalCash.csv
DigitalCash.csv
 
 
ETH_Half_year_price.csv
ETH_Half_year_price.csv
 
 
ETH_Last_month_price.csv
ETH_Last_month_price.csv
 
 
ETH_Last_quarter_price.csv
ETH_Last_quarter_price.csv
 
 
ETH_Last_year_price.csv
ETH_Last_year_price.csv
 
 
GRLC.py
GRLC.py
 
 
GRLC_All_time_data.csv
GRLC_All_time_data.csv
 
 
LTC_Half_year_price.csv
LTC_Half_year_price.csv
 
 
LTC_Last_month_price.csv
LTC_Last_month_price.csv
 
 
LTC_Last_quarter_price.csv
LTC_Last_quarter_price.csv
 
 
LTC_Last_year_price.csv
LTC_Last_year_price.csv
 
 
NASDAQ_Half_year_data.csv
NASDAQ_Half_year_data.csv
 
 
NASDAQ_Last_month_data.csv
NASDAQ_Last_month_data.csv
 
 
NASDAQ_Last_year_data.csv
NASDAQ_Last_year_data.csv
 
 
Predict.ipynb
Predict.ipynb
 
 
README.md
README.md
 
 
ZCash.csv
ZCash.csv
 
 
ZEC_Half_year_price.csv
ZEC_Half_year_price.csv
 
 
ZEC_Last_month_price.csv
ZEC_Last_month_price.csv
 
 
ZEC_Last_quarter_price.csv
ZEC_Last_quarter_price.csv
 
 
ZEC_Last_year_price.csv
ZEC_Last_year_price.csv
 
 
bitcoin.csv
bitcoin.csv
 
 
ethereum.csv
ethereum.csv
 
 
litecoin.csv
litecoin.csv
 
 
price comparison.py
price comparison.py
 
 
sampleml.py
sampleml.py
 
 

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ECE180-final-project

ECE 180 Final Project

The idea of this project is to see what sort of factors have the most impact on Cryptocurrency prices.

The two main steps done in this project are to

  1. Make a simple webcrawler to grab data from online sources to be used for ML
  2. Build a model using the data to determine what affects the prices

For my portion of the project, I decided to do a text analysis on posts in Reddit surrounding events that caused two popular coins, DogeCoin and Garlicoin, to surge in price.

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ECE 180 Final Project

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  • Python 54.5%
  • Jupyter Notebook 45.5%