Used to track and continue building on iconic modeling examples with public data sets, explore and build common Modeling techniques, and to utilize version control for common code use-cases.
Loan_Data_With_Machine_Learning.py:
- Classification Models
- Generic Loan Data Set: https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/ML0101ENv3/labs/loan_train.csv
- Data Visualization & Modeling
IrisPractice.ipynb:
- Classification Models
- Iconic Iris Dataset used
- Visualization
- Data Visualization & Modeling
Linear Regression Exploration.ipynb:
- Forecasting Models
- Walk-through of "Practical Machine Learning Tutorial" found on Youtube
- Exploratory Linear Regression Modeling
- Simplistic Visualization
LinearRegressionManualBuild.ipynb:
- Forecasting Models
- Recreation of Linear Regression Modeling via function definition
- Additional comprehension of how the Scikit-Learn package creates Linear Regression
IntroOptimization.ipynb:
- Combinational Optimization Models
- Lecture 1: Intro and Optimization Problems on MITOpenCourseware
- The Knapsack problem & Greedy algorithms
- Positive Python Coding Practices