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20 Commits
01-911 Calls Data Capstone Project.ipynb
01-911 Calls Data Capstone Project.ipynb
 
 
02-Choropleth Maps Exercise.ipynb
02-Choropleth Maps 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-NLP Project.ipynb
02-NLP Project.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
 
 
03-Finance Project.ipynb
03-Finance Project.ipynb
 
 
03-Keras-Project-Exercise-Book-Tasks.ipynb
03-Keras-Project-Exercise-Book-Tasks.ipynb
 
 
07-Seaborn Exercises.ipynb
07-Seaborn Exercises.ipynb
 
 
2011_US_AGRI_Exports
2011_US_AGRI_Exports
 
 
2012_Election_Data
2012_Election_Data
 
 
2014_World_GDP
2014_World_GDP
 
 
2014_World_Power_Consumption
2014_World_Power_Consumption
 
 
911.csv
911.csv
 
 
Choropleth Notes.ipynb
Choropleth Notes.ipynb
 
 
Classified Data
Classified Data
 
 
College_Data
College_Data
 
 
EDAPreprocessingNotes.ipynb
EDAPreprocessingNotes.ipynb
 
 
KNN_Notes.ipynb
KNN_Notes.ipynb
 
 
KNN_Project_Data
KNN_Project_Data
 
 
Movie_Id_Titles
Movie_Id_Titles
 
 
NumPyArraysNotes.ipynb
NumPyArraysNotes.ipynb
 
 
PCA_Notes.ipynb
PCA_Notes.ipynb
 
 
Pandas Notes.ipynb
Pandas Notes.ipynb
 
 
SMSSpamCollection
SMSSpamCollection
 
 
SVM_Notes.ipynb
SVM_Notes.ipynb
 
 
Seaborn Notes.ipynb
Seaborn Notes.ipynb
 
 
dataVisNotes.ipynb
dataVisNotes.ipynb
 
 
decisionTreesAndRandomForestNotes.ipynb
decisionTreesAndRandomForestNotes.ipynb
 
 
df1
df1
 
 
df2
df2
 
 
df3
df3
 
 
example
example
 
 
kMeansClusterNotes.ipynb
kMeansClusterNotes.ipynb
 
 
kerasRegressionNotes.ipynb
kerasRegressionNotes.ipynb
 
 
kerasSyntaxNotes.ipynb
kerasSyntaxNotes.ipynb
 
 
kyphosis.csv
kyphosis.csv
 
 
linearRegressionNotes.ipynb
linearRegressionNotes.ipynb
 
 
loan_data.csv
loan_data.csv
 
 
loan_model_noguide.h5
loan_model_noguide.h5
 
 
loan_model_with_guide.h5
loan_model_with_guide.h5
 
 
logisticRegressionNotes.ipynb
logisticRegressionNotes.ipynb
 
 
multi_index_example
multi_index_example
 
 
naturalLanguageProcessingNotes.ipynb
naturalLanguageProcessingNotes.ipynb
 
 
plotlyCufflinksNotes.ipynb
plotlyCufflinksNotes.ipynb
 
 
recommenderSystemsNotes.ipynb
recommenderSystemsNotes.ipynb
 
 
temp-plot.html
temp-plot.html
 
 
titanic_test.csv
titanic_test.csv
 
 
titanic_train.csv
titanic_train.csv
 
 
u.data
u.data
 
 
u.item
u.item
 
 
yelp.csv
yelp.csv
 
 

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Exercises and notes completed in the Jupyter Notebook while completing the Udemy course, "Python for Data Analysis and Machine Learning

Topics

natural-language-processing linear-regression machine-learning-algorithms plotly pandas seaborn titanic-kaggle logistic-regression matplotlib recommender-system financial-analysis cufflinks keras-tensorflow titanic-survival-prediction k-nearest-neighbors matplotlib-pyplot geographical-data
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