Welcome!

As I continue to learn more every day about different programming languages, I'm going to be using this repository to store all of the notebooks that I have used in various courses to grow/practice, so that it's easy to see what I've learned and how I've applied that knowledge (as well as as a reference for myself, so that I can keep everything fresh!). Have a look around and feel free to reach out if you have any comments or questions.

Repository Strucure

├── Flatiron Course Work
    ├── Activities
    ├── BigData
    ├── CodingBasics
    ├── CommandLine
    ├── ComputerScience
    ├── DataEngineering
    ├── DataScienceBasics
    ├── DeepLearning
    ├── EvaluatingModels
    ├── Git
    ├── Lessons
    ├── MachineLearning
    ├── Mathematics
    ├── NLP
    ├── ProbabilityAndStats
    ├── Projects
    ├── StatisticalModeling
    ├── .gitignore
├── Flatiron Study Group Materials
    ├──module_1
        ├──week_1_PT
        ├──week_2_PT
        ├──week_3_PT
        ├──week_4_PT
        ├──week_5_PT
        ├──week_6_PT
        ├──week_7_PT
    ├──module_2
        ├──week_1_PT
        ├──week_2_PT
        ├──week_3_PT
        ├──week_4_PT
        ├──week_5_PT
        ├──week_6_PT
    ├──module_3
        ├──week_1_PT
        ├──week_2_PT
        ├──week_3_PT
        ├──week_4_PT
        ├──week_5_PT
        ├──week_6_PT
    ├──module_4
        ├──week_1_PT
        ├──week_2_PT
        ├──week_3_PT
        ├──week_4_PT
        ├──week_5_PT
        ├──week_6_PT
    ├──module_5
        ├──.ipynb_checkpoints
        ├──Mod5 Capstone Introduction.pdf
        ├──Model Deployment.ipynb
        ├──wine_classifier.pickle
    ├── .gitignore
├──Humble Bundle Workbooks
    ├──.ipynb_checkpoints
    ├──Python
        ├──1_Python_In_Depth.ipynb
        ├──2_Algorithms_Sort.ipynb
        ├──3_Algorithms_Search.ipynb 
├──Machine Learning From Scratch
    ├──Neural_Network_From_Scratch.ipynb 
├── Misc Workbooks
    ├──facial_recognition
        ├──known_faces
        ├──unknown_faces  
        ├──facial_recognition_using_library.py
        ├──video.mp4  
        ├──with_video.py
    ├──.ipynb_checkpoints
    ├──serenade_tutorial.py
└── README.md