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.ipynb_checkpoints
.ipynb_checkpoints
 
 
data
data
 
 
.DS_Store
.DS_Store
 
 
.gitignore
.gitignore
 
 
0.Regression_using_high_school_math.ipynb
0.Regression_using_high_school_math.ipynb
 
 
1.Regression_using_Linear_Regression.ipynb
1.Regression_using_Linear_Regression.ipynb
 
 
2.Classification_using_Logistic_Regression.ipynb
2.Classification_using_Logistic_Regression.ipynb
 
 
3.Classification_using_Boosting.ipynb
3.Classification_using_Boosting.ipynb
 
 
4.Classification_using_NeuralNetworks.ipynb
4.Classification_using_NeuralNetworks.ipynb
 
 
5.UCI-HeartDataset.ipynb
5.UCI-HeartDataset.ipynb
 
 
6.Transfer-Learning.ipynb
6.Transfer-Learning.ipynb
 
 
README.md
README.md
 
 
convert_ssv_to_csv.py
convert_ssv_to_csv.py
 
 
iris.png
iris.png
 
 
iris_classes.png
iris_classes.png
 
 
join_files.py
join_files.py
 
 
kaggle_algorithms.png
kaggle_algorithms.png
 
 
kaggle_tools.png
kaggle_tools.png
 
 

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Setting up instructions for Google Compute Engine

install git

git clone https://github.com/pbhatnagar3/Intro_to_ML/

install pip3

sudo apt-get update sudo apt-get -y install python3-pip

python3 -m pip install --upgrade pip python3 -m pip install jupyter

set up the firewall to have 8888 port

follow this https://medium.com/@kn.maragatham09/installing-jupyter-notebook-on-google-cloud-11979e40cd10

sudo python3 -mpip install matplotlib sudo python3 -mpip install sklearn sudo python3 -mpip install pandas sudo python3 -mpip install statsmodels sudo python3 -mpip install tqdm

start the jupyter notebook

jupyter notebook --ip=0.0.0.0 --port=8888 --no-browser

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