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Name		Name	Last commit message	Last commit date
ab_project		ab_project
templates		templates
week_8_flask		week_8_flask
01-2 Task Workbook.docx		01-2 Task Workbook.docx
02-1 Excel and Power BI slides.pdf		02-1 Excel and Power BI slides.pdf
03-1 Introduction to Python Tasks.ipynb		03-1 Introduction to Python Tasks.ipynb
03-1 SOLUTIONS - Introduction to Python Tasks.ipynb		03-1 SOLUTIONS - Introduction to Python Tasks.ipynb
03-2 Advanced Python.ipynb		03-2 Advanced Python.ipynb
03-2 SOLUTIONS - Advanced Python.ipynb		03-2 SOLUTIONS - Advanced Python.ipynb
04-1 Introduction to Python Pandas.ipynb		04-1 Introduction to Python Pandas.ipynb
04-1 SOLUTIONS - Introduction to Python Pandas Task 1 and 2.ipynb		04-1 SOLUTIONS - Introduction to Python Pandas Task 1 and 2.ipynb
04-1 SOLUTIONS - Introduction to Python Pandas.ipynb		04-1 SOLUTIONS - Introduction to Python Pandas.ipynb
04-2 - Data Wrangling and Mining with Python Pandas.ipynb		04-2 - Data Wrangling and Mining with Python Pandas.ipynb
04-2 SOLUTIONS - Data Wrangling and Mining with Python Pandas.ipynb		04-2 SOLUTIONS - Data Wrangling and Mining with Python Pandas.ipynb
05-1 Data Visualisation Python Matplotlib and Seaborn.ipynb		05-1 Data Visualisation Python Matplotlib and Seaborn.ipynb
05-1 Visualisations - Extra Examples.ipynb		05-1 Visualisations - Extra Examples.ipynb
06-2 Extra Machine Learning Examples.ipynb		06-2 Extra Machine Learning Examples.ipynb
06-2 LECTURE slides Code Snippets.ipynb		06-2 LECTURE slides Code Snippets.ipynb
06-2 Supervised and Unsupervised Learning Algorithm Fundamentals.pdf		06-2 Supervised and Unsupervised Learning Algorithm Fundamentals.pdf
07-1 EXAMPLE Training a Neural Network.ipynb		07-1 EXAMPLE Training a Neural Network.ipynb
07-1 Introduction to Neural Networks.pdf		07-1 Introduction to Neural Networks.pdf
07-2 Recurrent Neural Networks for Natural Language Processing.pdf		07-2 Recurrent Neural Networks for Natural Language Processing.pdf
Amazon_Unlocked_Mobile.csv		Amazon_Unlocked_Mobile.csv
Final project.pptx		Final project.pptx
M2regression.ipynb		M2regression.ipynb
NLP practical.ipynb		NLP practical.ipynb
README Webpage Demo.txt		README Webpage Demo.txt
README.md		README.md
SOLUTION Webpage Demo.html		SOLUTION Webpage Demo.html
WA_Fn-UseC_-Sales-Win-Loss.csv		WA_Fn-UseC_-Sales-Win-Loss.csv
Webpage CSS.html		Webpage CSS.html
__init__.py		__init__.py
adspy_shared_utilities.cpython-39.pyc		adspy_shared_utilities.cpython-39.pyc
adspy_shared_utilities.py		adspy_shared_utilities.py
app.py		app.py
bad_data.xlsx		bad_data.xlsx
bsu6pt2.ipynb		bsu6pt2.ipynb
cities.csv		cities.csv
classification.ipynb		classification.ipynb
create-databases.sql		create-databases.sql
employees.csv		employees.csv
fruit_data_with_colors.txt		fruit_data_with_colors.txt
housing.csv		housing.csv
netflix-rotten-tomatoes-metacritic-imdb.csv		netflix-rotten-tomatoes-metacritic-imdb.csv
new_employees.csv		new_employees.csv
pvp_test7.csv		pvp_test7.csv
redwine.csv		redwine.csv
reviews.csv		reviews.csv
separator.csv		separator.csv
sicCodes.xlsx		sicCodes.xlsx
titanic.csv		titanic.csv
usingAPIsCopy.ipynb		usingAPIsCopy.ipynb

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bsuBootcamp

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