ML-with-Python

My Machine Learning journey : )

Name		Name	Last commit message	Last commit date
A_single_Neuron_.ipynb		A_single_Neuron_.ipynb
Activation_function.ipynb		Activation_function.ipynb
Applying_CNN_to_image.ipynb		Applying_CNN_to_image.ipynb
Calculating_network_error_with_loss_Cross_Entropy_Loss.ipynb		Calculating_network_error_with_loss_Cross_Entropy_Loss.ipynb
Central Tendencies.png		Central Tendencies.png
Classical_SVM_on_iris_data_Experimenting_with_Kernels.ipynb		Classical_SVM_on_iris_data_Experimenting_with_Kernels.ipynb
Data_Standardization.ipynb		Data_Standardization.ipynb
Dense_layers_in_neural_networks_from_scratch.ipynb		Dense_layers_in_neural_networks_from_scratch.ipynb
EDA_for_breast_cancer_datatset.ipynb		EDA_for_breast_cancer_datatset.ipynb
Experimenting_with_Iris_dataset.ipynb		Experimenting_with_Iris_dataset.ipynb
Handling_Imbalanced_dataset.ipynb		Handling_Imbalanced_dataset.ipynb
Handling_Missing_values.ipynb		Handling_Missing_values.ipynb
Label_Encoding_ipynb.ipynb		Label_Encoding_ipynb.ipynb
Overfitting_and_Underfitting.ipynb		Overfitting_and_Underfitting.ipynb
README.md		README.md
Rock_or_Mine_using_Sonar_data_.ipynb		Rock_or_Mine_using_Sonar_data_.ipynb
SAMPLING AND TYPES OF SAMPLING TECHNIQUES.pdf		SAMPLING AND TYPES OF SAMPLING TECHNIQUES.pdf
SVC_heart.ipynb		SVC_heart.ipynb
Stacking_many_layers.ipynb		Stacking_many_layers.ipynb

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