Name	Name	Last commit message	Last commit date
Latest commit History 40 Commits
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

Name

Last commit message

Last commit date

40 Commits

ab_project

templates

week_8_flask

01-2 Task Workbook.docx

02-1 Excel and Power BI slides.pdf

03-1 Introduction to Python Tasks.ipynb

03-1 SOLUTIONS - Introduction to Python Tasks.ipynb

03-2 Advanced Python.ipynb