Data Science - Python

OVERVIEW

This repository contains assignments from a Data Science course using a variety of python packages and tools used for data analysis.

In this course I have gained experience with the following resources:

Python Packages:
- NumPy
- Pandas
- Matplotlib
- Seaborn
  - Data Visualization
- Scikit-Learn
  - Machine Learning: Linear regression, Logistic regression, KNN, Classification reports, Confusion matrix

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
01-911 Calls Data Capstone Project.ipynb		01-911 Calls Data Capstone Project.ipynb
01-SF Salaries Exercise.ipynb		01-SF Salaries Exercise.ipynb
02-Decision Trees and Random Forest Project.ipynb		02-Decision Trees and Random Forest Project.ipynb
02-K Means Clustering Project.ipynb		02-K Means Clustering Project.ipynb
02-K Nearest Neighbors Project.ipynb		02-K Nearest Neighbors Project.ipynb
02-Linear Regression Project.ipynb		02-Linear Regression Project.ipynb
02-Logistic Regression Project.ipynb		02-Logistic Regression Project.ipynb
02-Matplotlib Exercises.ipynb		02-Matplotlib Exercises.ipynb
02-Pandas Data Visualization Exercise.ipynb		02-Pandas Data Visualization Exercise.ipynb
02-Support Vector Machines Project.ipynb		02-Support Vector Machines Project.ipynb
04-Numpy Exercises.ipynb		04-Numpy Exercises.ipynb
07-Seaborn Exercises.ipynb		07-Seaborn Exercises.ipynb
README.md		README.md