gitextract_wrwg0zgp/

├── .gitignore
├── .ipynb_checkpoints/
│   └── Getting Started - From Artificial Intelligence to Machine Learning-checkpoint.ipynb
├── README.md
├── lesson-notes/
│   ├── .ipynb_checkpoints/
│   │   ├── Fast, Scalable Deep Learning - Alan Mosca-checkpoint.ipynb
│   │   └── Healthcare - Christopher Thompson 1 Oct 2016-checkpoint.ipynb
│   ├── 0-intro/
│   │   ├── .ipynb_checkpoints/
│   │   │   └── Getting Started - From Artificial Intelligence to Machine Learning-checkpoint.ipynb
│   │   └── Getting Started - From Artificial Intelligence to Machine Learning.ipynb
│   ├── 1-model-evaluation-and-validation/
│   │   ├── .ipynb_checkpoints/
│   │   │   ├── 1.3.1 Evaluation Metrics-checkpoint.ipynb
│   │   │   └── 1.3.2 Validation-checkpoint.ipynb
│   │   ├── 1.3.1 Evaluation Metrics.ipynb
│   │   ├── 1.3.2 Validation.ipynb
│   │   └── 1.4 Managing Error and Complexity.ipynb
│   ├── 2-supervised-learning/
│   │   ├── .ipynb_checkpoints/
│   │   │   ├── 2.4.1 Kernel Methods and Support Vector Machines-checkpoint.ipynb
│   │   │   ├── 2.5 Instance-based Learning-checkpoint.ipynb
│   │   │   ├── 2.6.2 Bayesian Learning-checkpoint.ipynb
│   │   │   └── 2.6.4 Bayes NLP project-checkpoint.ipynb
│   │   ├── 2.1.2 Regression and Classification.ipynb
│   │   ├── 2.1.4 More Regressions.ipynb
│   │   ├── 2.2 Decision Trees.ipynb
│   │   ├── 2.3 Neural Networks.ipynb
│   │   ├── 2.4.1 Kernel Methods and Support Vector Machines.ipynb
│   │   ├── 2.5 Instance-based Learning.ipynb
│   │   ├── 2.6.2 Bayesian Learning.ipynb
│   │   ├── 2.6.4 Bayes NLP project.ipynb
│   │   └── README.md
│   ├── 3-unsupervised-learning/
│   │   ├── .ipynb_checkpoints/
│   │   │   ├── 3.1.3 More Clustering-checkpoint.ipynb
│   │   │   ├── 3.2.2 Feature Selection-checkpoint.ipynb
│   │   │   ├── 3.3.1 PCA-checkpoint.ipynb
│   │   │   ├── Feature Transformation-checkpoint.ipynb
│   │   │   ├── More Clustering-checkpoint.ipynb
│   │   │   └── Untitled-checkpoint.ipynb
│   │   ├── 3.1.3 More Clustering.ipynb
│   │   ├── 3.2.2 Feature Selection.ipynb
│   │   ├── 3.3.1 PCA.ipynb
│   │   └── README.md
│   ├── 4-reinforcement-learning/
│   │   ├── .ipynb_checkpoints/
│   │   │   ├── 4.1.1 Markov Decision Processes-checkpoint.ipynb
│   │   │   └── 4.1.2 Reinforcement Learning-checkpoint.ipynb
│   │   ├── 4.1.1 Markov Decision Processes.ipynb
│   │   ├── 4.1.2 Reinforcement Learning.ipynb
│   │   └── README.md
│   ├── 5-ml-for-trading/
│   │   ├── .ipynb_checkpoints/
│   │   │   └── 0. Course Outline-checkpoint.ipynb
│   │   └── 0. Course Outline.ipynb
│   └── Healthcare - Christopher Thompson 1 Oct 2016.ipynb
├── p0-titanic-survival-exploration/
│   ├── .ipynb_checkpoints/
│   │   └── titanic_survival_exploration-checkpoint.ipynb
│   ├── README.md
│   ├── report.html
│   ├── titanic_data.csv
│   ├── titanic_survival_exploration.ipynb
│   └── titanic_visualizations.py
├── p1-boston-housing/
│   ├── .ipynb_checkpoints/
│   │   └── boston_housing-checkpoint.ipynb
│   ├── README.md
│   ├── boston_housing.ipynb
│   ├── housing.csv
│   ├── report.html
│   └── visuals.py
├── p2-student-intervention/
│   ├── .ipynb_checkpoints/
│   │   ├── student_intervention-Copy1-checkpoint.ipynb
│   │   ├── student_intervention-checkpoint.ipynb
│   │   ├── student_intervention1-checkpoint.ipynb
│   │   └── student_intervention_py2.7-checkpoint.ipynb
│   ├── README.md
│   ├── archive/
│   │   ├── student_intervention-Copy1.ipynb
│   │   ├── student_intervention1.ipynb
│   │   └── student_intervention_py2.7.ipynb
│   ├── report.html
│   ├── student-data.csv
│   └── student_intervention.ipynb
├── p3-creating-customer-segments/
│   ├── .ipynb_checkpoints/
│   │   └── customer_segments-checkpoint.ipynb
│   ├── README.md
│   ├── archive/
│   │   └── customer_segments_python2.7.ipynb
│   ├── customer_segments.ipynb
│   ├── customers.csv
│   ├── renders.py
│   ├── renders_py3.py
│   └── report.html
├── p4-smartcab/
│   ├── .ipynb_checkpoints/
│   │   ├── Smartcab Report-Copy1-checkpoint.ipynb
│   │   ├── Smartcab Report-Copy2-checkpoint.ipynb
│   │   ├── Smartcab Report-checkpoint.ipynb
│   │   └── smartcab-report-checkpoint.ipynb
│   ├── README.md
│   ├── old-versions-of-reports/
│   │   ├── .ipynb_checkpoints/
│   │   │   └── Smartcab Report-Copy1-checkpoint.ipynb
│   │   ├── Smartcab Report-Copy1.ipynb
│   │   └── Smartcab Report-Copy2.ipynb
│   ├── smartcab/
│   │   ├── __init__.py
│   │   ├── agent.py
│   │   ├── environment.py
│   │   ├── planner.py
│   │   ├── qtable.js
│   │   ├── report.html
│   │   ├── simulator.py
│   │   └── trial-data/
│   │       ├── data.js
│   │       ├── trial1.js
│   │       ├── trial10.js
│   │       ├── trial2.js
│   │       ├── trial3.js
│   │       ├── trial4.js
│   │       ├── trial5.js
│   │       ├── trial6.js
│   │       ├── trial7.js
│   │       ├── trial8.js
│   │       └── trial9.js
│   ├── smartcab-report.ipynb
│   ├── smartcab_parameter_search.csv
│   └── smartcab_params_summary.csv
└── p5-capstone/
    ├── .ipynb_checkpoints/
    │   ├── 2-analysis-code-py2-checkpoint.ipynb
    │   ├── 2-analysis-code-py3-checkpoint.ipynb
    │   ├── 3-methodology-results-conclusion-code-py2-Copy1-checkpoint.ipynb
    │   ├── 3-methodology-results-conclusion-code-py2-checkpoint.ipynb
    │   ├── 3-methodology-results-conclusion-code-py3-checkpoint.ipynb
    │   ├── Discarded Notes-checkpoint.ipynb
    │   ├── delete-checkpoint.ipynb
    │   ├── lse-list-checkpoint.ipynb
    │   ├── p5.1-definition-checkpoint.ipynb
    │   ├── p5.2-4-code-checkpoint.ipynb
    │   ├── p5.2-4-report-checkpoint.ipynb
    │   └── p5.5-conclusion-checkpoint.ipynb
    ├── 2-analysis-code-py2.ipynb
    ├── 2-analysis-code-py2.ipynb.bak
    ├── 2-analysis-code-py3.ipynb
    ├── 3-methodology-results-conclusion-code-py2.ipynb
    ├── 3-methodology-results-conclusion-code-py3.ipynb
    ├── README.md
    ├── archive/
    │   ├── .ipynb_checkpoints/
    │   │   └── Discarded Notes-checkpoint.ipynb
    │   ├── Discarded Notes.ipynb
    │   ├── III. Methodology - Code-Copy1.ipynb
    │   ├── lse-list.ipynb
    │   ├── ml-for-trading/
    │   │   ├── .ipynb_checkpoints/
    │   │   │   ├── 2. Computational Investment-checkpoint.ipynb
    │   │   │   └── 3. ML for Trading Algorithms-checkpoint.ipynb
    │   │   ├── 2. Computational Investment.ipynb
    │   │   └── 3. ML for Trading Algorithms.ipynb
    │   ├── p5.2-4-code.ipynb
    │   ├── report-drafts/
    │   │   ├── p5.1-definition.ipynb
    │   │   ├── p5.2-4-report.ipynb
    │   │   └── p5.5-conclusion.ipynb
    │   ├── robot_motion_planning/
    │   │   ├── maze.py
    │   │   ├── robot.py
    │   │   ├── showmaze.py
    │   │   ├── test_maze_01.txt
    │   │   ├── test_maze_02.txt
    │   │   ├── test_maze_03.txt
    │   │   └── tester.py
    │   └── udacity-materials/
    │       └── project_report_template.md
    ├── ftse100-figures.csv
    ├── ftse100-list.csv
    ├── google-finance-py2.py
    ├── google-finance-scraper.py
    ├── list-of-all-securities-ex-debt.csv
    └── report.md