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.ipynb_checkpoints
.ipynb_checkpoints
 
 
ANN_Modelling.csv
ANN_Modelling.csv
 
 
Artificial Neural Networks.ipynb
Artificial Neural Networks.ipynb
 
 
Data PreProcessing example.ipynb
Data PreProcessing example.ipynb
 
 
Data.csv
Data.csv
 
 
Dataset.csv
Dataset.csv
 
 
Decision Trees.ipynb
Decision Trees.ipynb
 
 
HWK6SVM.ipynb
HWK6SVM.ipynb
 
 
Hello World.ipynb
Hello World.ipynb
 
 
In class polynomial regression.ipynb
In class polynomial regression.ipynb
 
 
K Means Clustering.ipynb
K Means Clustering.ipynb
 
 
KNN.ipynb
KNN.ipynb
 
 
Logistical Regression.ipynb
Logistical Regression.ipynb
 
 
ML Project.ipynb
ML Project.ipynb
 
 
Mall_Customers.csv
Mall_Customers.csv
 
 
PCA.ipynb
PCA.ipynb
 
 
Position_Salaries.csv
Position_Salaries.csv
 
 
Practice for bonus points.ipynb
Practice for bonus points.ipynb
 
 
README.md
README.md
 
 
Random Forest.ipynb
Random Forest.ipynb
 
 
Regression In class assignment.ipynb
Regression In class assignment.ipynb
 
 
Salary.csv
Salary.csv
 
 
Social_Network_Ads.csv
Social_Network_Ads.csv
 
 
Startups.csv
Startups.csv
 
 
Support vector machines.ipynb
Support vector machines.ipynb
 
 
Wine.csv
Wine.csv
 
 
car_data.csv
car_data.csv
 
 
diabetes_prediction_dataset.csv
diabetes_prediction_dataset.csv
 
 

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Machine-Learning

A respository of all the .ipynb Jupiter Notebook Files created from my Machine Learning Class.

ML Project is the most important file in this repository, it contains the final project from the class and is every model being compared accuracy wise on the same dataset.

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