GitHub - catalinalopera/stock_analysis_dashboard: This project aims to analyze the data collected from different financial sources and create a dashboard for stock analysis, including predictions and sentimental analysis.

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This project aims to analyze the data collected from different financial sources and create a dashboard for stock analysis, including predictions and sentimental analysis.

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Name		Name	Last commit message	Last commit date
Latest commit History 68 Commits
EDA		EDA
Sentimental_Analysis		Sentimental_Analysis
__pycache__		__pycache__
assets		assets
clustering_codes		clustering_codes
dashboard		dashboard
data		data
models		models
msft_example		msft_example
preprocess		preprocess
regression		regression
tools		tools
LSTM_regression_use_case.ipynb		LSTM_regression_use_case.ipynb
Pipfile		Pipfile
Pipfile.lock		Pipfile.lock
README.md		README.md
StockPrediction.ipynb		StockPrediction.ipynb
app.py		app.py
data_load_example.ipynb		data_load_example.ipynb
finance.pptx		finance.pptx
get_news.py		get_news.py
lstm_use_case_function.py		lstm_use_case_function.py
model.h5		model.h5
news_load_data.ipynb		news_load_data.ipynb
requirements.txt		requirements.txt
single_preprocessing_use_case_function.py		single_preprocessing_use_case_function.py
single_ticker_lstm_use_case_function.py		single_ticker_lstm_use_case_function.py
testing_page.ipynb		testing_page.ipynb

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DL Stock Analysis

Deep Learning 1 – AASD4010

. Rahul,
Bhatt Harsh Udaybhai,
Dossayeva Zarina,
Henao Barrios Juan,
Kaczur Robert,
Lopera Diana

About

This project aims to analyze the data collected from different financial sources and create a dashboard for stock analysis, including predictions and sentimental analysis.

stock stock-price-prediction regression-models sentiment-classification

Readme