Zero-to-mastery

Heart Disease Prediction project using tools such as python, pan das, numpy, matplotlib, scikitlearn (Classification Problem. The model used to make the project was RandomForestClassifier from Sklearn.ensemble. Outcome: Upto 91% precision.
Bulldozers price prediction project using tools such as python, pan das, numpy, matplotlib, scikitlearn (Time Series Problem). The model used to make the project was RandomForestRegressor from sklearn.ensemble. Outcome: Using feature importance I found out that the size of the bulldozer was the major feature to predict the price.
Dog Classification project using python, pan das, numpy, matplotlib, TensorFlow. I used transfer learning and used a pretrained model on TensorFlow.

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
MammogramClassification.ipynb		MammogramClassification.ipynb
README.md		README.md
end-to-end-bluebook-bulldozer-price-regression.ipynb		end-to-end-bluebook-bulldozer-price-regression.ipynb
end-to-end-dog-vision.ipynb		end-to-end-dog-vision.ipynb
end-to-end-heart-disease-classification.ipynb		end-to-end-heart-disease-classification.ipynb

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