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# Practical-Machine-Learning-with-Python
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Machine Learning tutorials in Python
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1.**Part - 1**[[ Theory ](https://savan77.github.io/blog/machine-learning-part1.html)][[ Code ](https://github.com/savan77/Practical-Machine-Learning-With-Python/blob/master/Part%20-%201/Practical%20Machine%20Learning%20With%20Python%20%5BPart%20-%201%5D.ipynb)]
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1.**Part - 1**[[ Theory ](https://savan77.github.io/2017年04月19日-ml-part1/)][[ Code ](https://savan77.github.io/lab-machine-learning-part1)]
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- What is Machine Learning and Types of Machine Learning?
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- Linear Regression
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- Gradient Descent
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- Regularization
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- Cross Validation
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2.**Part - 2**[[ Theory and Code ](https://github.com/savan77/Practical-Machine-Learning-With-Python/blob/master/Part%20-%202/Practical%20Machine%20Learning%20With%20Python%20-%20Part%202.ipynb)]
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2.**Part - 2**[[ Theory and Code ](https://savan77.github.io/machine-learning-part2.html)]
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- Naive Bayes
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- Support Vector Machines
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- Decision Tree
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- Random Forest and Boosting algorithms
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- Preprocessing and Feature Extraction techniques
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3.**Part - 3**[[ Theory and Code ](https://github.com/savan77/Practical-Machine-Learning-With-Python/blob/master/Part%20-%203/Practical%20Machine%20Learning%20With%20Python%20-%20Part%203.ipynb)]
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3.**Part - 3**[[ Theory and Code ](https://savan77.github.io/machine-learning-part3)]
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- K-nearest Neighbors Algorithm
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- K-means Clustering
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- Principal Component Analysis
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