GitHub - theotheories/DataScienceCourseSolutions: Contains python and python notebooks going from basics to applications of natural language processing

These are files of my solutions to my Data Science Fundamentals course, containing notebooks and python files.

Ensure to install any libraries required by imports. Otherwise, you will find all the files you need to run each script in this same directory.

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
Datasets Task.ipynb		Datasets Task.ipynb
README.md		README.md
Report.ipynb		Report.ipynb
age-quiz.py		age-quiz.py
alternative.py		alternative.py
amazon_product_reviews.csv		amazon_product_reviews.csv
award.py		award.py
balance.txt		balance.txt
cafe.py		cafe.py
capstone_NLP_sentiment_analysis.py		capstone_NLP_sentiment_analysis.py
capstone_finance_calculators.py		capstone_finance_calculators.py
challenge-vocab.py		challenge-vocab.py
challenge_1.py		challenge_1.py
challenge_2.py		challenge_2.py
conversion.py		conversion.py
details.py		details.py
errors.py		errors.py
errors2.py		errors2.py
finance_calculators.py		finance_calculators.py
garden.py		garden.py
hello_world.py		hello_world.py
holiday.py		holiday.py
insurance.csv		insurance.csv
insurance_regression.ipynb		insurance_regression.ipynb
logic.py		logic.py
machine_learning.ipynb		machine_learning.ipynb
manipulation.py		manipulation.py
movies.txt		movies.txt
numbers.py		numbers.py
optional_challenge.py		optional_challenge.py
pattern.py		pattern.py
replace.py		replace.py
semantic.py		semantic.py
sentiment_analysis_report-26-03-2024_18-22.pdf		sentiment_analysis_report-26-03-2024_18-22.pdf
while.py		while.py

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