Name		Name	Last commit message	Last commit date
Latest commit History 40 Commits
.gitignore		.gitignore
100 Sales Records_Lecture5_PracticeExcelSorting.csv		100 Sales Records_Lecture5_PracticeExcelSorting.csv
100 Sales Records_Lecture5_PracticeExcelSorting_Table.csv		100 Sales Records_Lecture5_PracticeExcelSorting_Table.csv
Index.html		Index.html
Lecture 03 Notes Aug 22.ipynb		Lecture 03 Notes Aug 22.ipynb
Lecture 10 - Machine Learning and Linear Regression pt 2.ipynb		Lecture 10 - Machine Learning and Linear Regression pt 2.ipynb
Lecture 11 - Classification Using Logistic Regression.ipynb		Lecture 11 - Classification Using Logistic Regression.ipynb
Lecture 12 Logistic Regression pt. 2.ipynb		Lecture 12 Logistic Regression pt. 2.ipynb
Lecture 13 - K-Nearest Neighbor Algorithm.ipynb		Lecture 13 - K-Nearest Neighbor Algorithm.ipynb
Lecture 14 - K-Nearest Algorithm pt. 2.ipynb		Lecture 14 - K-Nearest Algorithm pt. 2.ipynb
Lecture 15 - Decision Tree Algorithm.ipynb		Lecture 15 - Decision Tree Algorithm.ipynb
Lecture 16 - K-Means Algorithm.ipynb		Lecture 16 - K-Means Algorithm.ipynb
Lecture 17 -K-Means pt. 2.ipynb		Lecture 17 -K-Means pt. 2.ipynb
Lecture 18 - Text Mining from Social Media.ipynb		Lecture 18 - Text Mining from Social Media.ipynb
Lecture 19 - Text Mining from Social Media pt. 2.ipynb		Lecture 19 - Text Mining from Social Media pt. 2.ipynb
Lecture 2 Notes Aug 17.ipynb		Lecture 2 Notes Aug 17.ipynb
Lecture 20 - Deploying Prediction Model to REST API w. FLASK.ipynb		Lecture 20 - Deploying Prediction Model to REST API w. FLASK.ipynb
Lecture 3 August 24 Array Manipulation (1).ipynb		Lecture 3 August 24 Array Manipulation (1).ipynb
Lecture 3 August 24 Array Manipulation.ipynb		Lecture 3 August 24 Array Manipulation.ipynb
Lecture 4 Notes - Pandas.ipynb		Lecture 4 Notes - Pandas.ipynb
Lecture 5 Data Summarization w Pandas.ipynb		Lecture 5 Data Summarization w Pandas.ipynb
Lecture 6 - Dealing w JSON Data & Web Scraping.ipynb		Lecture 6 - Dealing w JSON Data & Web Scraping.ipynb
Lecture 7 - Data Visualization w Matplotlib.ipynb		Lecture 7 - Data Visualization w Matplotlib.ipynb
Lecture 8 - Plotting w Seaborn Library.ipynb		Lecture 8 - Plotting w Seaborn Library.ipynb
Lecture 9 - Machine Learning Intro.ipynb		Lecture 9 - Machine Learning Intro.ipynb
McKenzie Church - Project 2(2).ipynb		McKenzie Church - Project 2(2).ipynb
McKenzie Church - Project 3(2).ipynb		McKenzie Church - Project 3(2).ipynb
McKenzie Church - Week 10 Assignment.ipynb		McKenzie Church - Week 10 Assignment.ipynb
McKenzie Church - Week 13 Assignment.ipynb		McKenzie Church - Week 13 Assignment.ipynb
McKenzie Church - Week 14 Assignment.ipynb		McKenzie Church - Week 14 Assignment.ipynb
McKenzie Church - Week 2 Assignment (new)-checkpoint (1).ipynb		McKenzie Church - Week 2 Assignment (new)-checkpoint (1).ipynb
McKenzie Church - Week 4 Assignment (3).ipynb		McKenzie Church - Week 4 Assignment (3).ipynb
McKenzie Church - Week 6 Assignment (1).ipynb		McKenzie Church - Week 6 Assignment (1).ipynb
McKenzie Church - Week 8 Assignment.ipynb		McKenzie Church - Week 8 Assignment.ipynb
McKenzie Church Project 1 (1).ipynb		McKenzie Church Project 1 (1).ipynb
McKenzie Church Project 1 (2).ipynb		McKenzie Church Project 1 (2).ipynb
McKenzie Church Project 1.ipynb		McKenzie Church Project 1.ipynb
McKenzie Church Week 5 Assignment (2).ipynb		McKenzie Church Week 5 Assignment (2).ipynb
McKenzie Church Week 9 Assignment.ipynb		McKenzie Church Week 9 Assignment.ipynb
McKenzieChurch_Week3Assignment (1).ipynb		McKenzieChurch_Week3Assignment (1).ipynb
McKenzieChurch_Week3Assignment.ipynb		McKenzieChurch_Week3Assignment.ipynb
Model.py		Model.py
README.md		README.md
Week15API.zip		Week15API.zip
app.py		app.py
lecture3notes_1.pdf		lecture3notes_1.pdf
model.pkl		model.pkl
sales.csv		sales.csv

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