├── 1.Simple Linear Regression ├── .ipynb_checkpoints │ └── LinearRegression-checkpoint.ipynb ├── FeatureScaling.py ├── LinearRegression.ipynb ├── LinearRegression.py ├── Salary_Data.csv ├── __pycache__ │ ├── FeatureScaling.cpython-36.pyc │ └── LinearRegression.cpython-36.pyc └── main.py ├── 2.Clustering ├── 1.K_Means_Clustering │ ├── .ipynb_checkpoints │ │ └── K_means_clustering-checkpoint.ipynb │ ├── K_means_clustering.ipynb │ ├── Kmeans.py │ ├── Mall_Customers.csv │ ├── __pycache__ │ │ └── Kmeans.cpython-36.pyc │ ├── main.py │ └── main_implementation.py └── 2. Hierachical Clustering │ ├── Mall_Customers.csv │ ├── dendogram.png │ ├── dendogram2.png │ ├── dendogram3.png │ ├── dendogram4.png │ ├── dendogram5.png │ └── sample.py ├── 3.Multiple Linear Regression ├── LinearRegression.py ├── Startups.csv ├── __pycache__ │ └── LinearRegression.cpython-36.pyc └── main.py ├── 4.KNN ├── .ipynb_checkpoints │ └── K-NearestNeighbours(KNN)-checkpoint.ipynb ├── FeatureScaling.py ├── K-NearestNeighbours(KNN).ipynb ├── KNN.py ├── Social_Network_Ads.csv ├── __pycache__ │ ├── FeatureScaling.cpython-36.pyc │ └── KNN.cpython-36.pyc └── main.py ├── 5.Naive Bayes Classification ├── .ipynb_checkpoints │ └── Naive Bayes Classification-checkpoint.ipynb ├── FeatureScaling.py ├── Naive Bayes Classification.ipynb ├── Naive_Bayes.py ├── Social_Network_Ads.csv ├── Social_Network_Ads_scratch.py ├── Social_Network_Ads_sklearn.py ├── __pycache__ │ ├── FeatureScaling.cpython-36.pyc │ └── Naive_Bayes.cpython-36.pyc ├── diabetes.csv ├── diabetes_from_scratch.py ├── diabetes_sklearn.py └── main_implementation.py ├── 6. LDA ├── FeatureScaling.py ├── Wine.csv ├── __pycache__ │ └── FeatureScaling.cpython-36.pyc └── main.py ├── 7.PCA ├── Wine.csv └── main.py ├── 8. ANN ├── .ipynb_checkpoints │ └── Artificial Neural network with one hidden layer-checkpoint.ipynb ├── ANN.py ├── Artificial Neural network with one hidden layer.ipynb ├── Churn_Modelling.csv └── main.py └── 9. Deep Neural Network ├── .ipynb_checkpoints └── Digit Recognition from 0-9 from Scratch using Deep Neural network-checkpoint.ipynb ├── Churn_Modelling.csv ├── Digit Recognition from 0-9 from Scratch using Deep Neural network.ipynb ├── DigitRecognition.py └── main.py /1.Simple Linear Regression/.ipynb_checkpoints/LinearRegression-checkpoint.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pavankalyan1997/Machine-learning-without-any-libraries/HEAD/1.Simple Linear Regression/.ipynb_checkpoints/LinearRegression-checkpoint.ipynb -------------------------------------------------------------------------------- /1.Simple Linear Regression/FeatureScaling.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pavankalyan1997/Machine-learning-without-any-libraries/HEAD/1.Simple Linear Regression/FeatureScaling.py 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