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.ipynb_checkpoints
.ipynb_checkpoints
 
 
Images
Images
 
 
.DS_Store
.DS_Store
 
 
.Data Visualization with Python.ipynb.icloud
.Data Visualization with Python.ipynb.icloud
 
 
.\images\sine_mesh.png
.\images\sine_mesh.png
 
 
Create Github repo.ipynb
Create Github repo.ipynb
 
 
Deep Learning in Python.ipynb
Deep Learning in Python.ipynb
 
 
Explore working directory.ipynb
Explore working directory.ipynb
 
 
Feature Engineering for NLP in Python.ipynb
Feature Engineering for NLP in Python.ipynb
 
 
Git.ipynb
Git.ipynb
 
 
Help.ipynb
Help.ipynb
 
 
Image in Jupyter.ipynb
Image in Jupyter.ipynb
 
 
Import data from web and API.ipynb
Import data from web and API.ipynb
 
 
Import data with SQL.ipynb
Import data with SQL.ipynb
 
 
Import flat files with Numpy.ipynb
Import flat files with Numpy.ipynb
 
 
Import flat files with Pandas.ipynb
Import flat files with Pandas.ipynb
 
 
Intro to PySpark.ipynb
Intro to PySpark.ipynb
 
 
Jupyter notebook shortcuts.ipynb
Jupyter notebook shortcuts.ipynb
 
 
Linear Classifiers - logistic regression and SVM.ipynb
Linear Classifiers - logistic regression and SVM.ipynb
 
 
ML classification case study - school budgets.ipynb
ML classification case study - school budgets.ipynb
 
 
ML pipeline - classification.ipynb
ML pipeline - classification.ipynb
 
 
MongoDB.ipynb
MongoDB.ipynb
 
 
NLP fundamentals in Python.ipynb
NLP fundamentals in Python.ipynb
 
 
NLP pipeline test.ipynb
NLP pipeline test.ipynb
 
 
NLP pipeline.ipynb
NLP pipeline.ipynb
 
 
Notes for cispd.ipynb
Notes for cispd.ipynb
 
 
Pandas notes.ipynb
Pandas notes.ipynb
 
 
Preprocessing for ML in Python.ipynb
Preprocessing for ML in Python.ipynb
 
 
README.md
README.md
 
 
RNN for language modeling in keras.ipynb
RNN for language modeling in keras.ipynb
 
 
SQL Relational Databases in Python.ipynb
SQL Relational Databases in Python.ipynb
 
 
SQL_joins.ipynb
SQL_joins.ipynb
 
 
SQL_notes.ipynb
SQL_notes.ipynb
 
 
SQL_notes_condensed.ipynb
SQL_notes_condensed.ipynb
 
 
Statistical Thinking - EDA, probabilistic thinking.ipynb
Statistical Thinking - EDA, probabilistic thinking.ipynb
 
 
Statistical thinking 2 - applications.ipynb
Statistical thinking 2 - applications.ipynb
 
 
Supervised learning with scikit-learn.ipynb
Supervised learning with scikit-learn.ipynb
 
 
Template for notes.ipynb
Template for notes.ipynb
 
 
TensorFlow_intro.ipynb
TensorFlow_intro.ipynb
 
 
Unsupervised Learning in Python.ipynb
Unsupervised Learning in Python.ipynb
 
 
Untitled4.ipynb
Untitled4.ipynb
 
 
XGBoost - Extreme Gradient Boosting.ipynb
XGBoost - Extreme Gradient Boosting.ipynb
 
 
autokeras.ipynb
autokeras.ipynb
 
 
data_engineering_intro.ipynb
data_engineering_intro.ipynb
 
 
feature notes.ipynb
feature notes.ipynb
 
 
image8.png
image8.png
 
 
image9.png
image9.png
 
 
multilabel_traintestsplit.ipynb
multilabel_traintestsplit.ipynb
 
 

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Python-reference

Notes on all things Python from Datacamp for my future self to reference.

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