Machine-Learning-Lessions

A guide to my ML journey

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
Bagging_EL.ipynb		Bagging_EL.ipynb
Brain Tumor Detection using Pretrained Model using Attention Mechanism.ipynb		Brain Tumor Detection using Pretrained Model using Attention Mechanism.ipynb
Capstone_LinR_TeamMS.ipynb		Capstone_LinR_TeamMS.ipynb
Decision Tree.ipynb		Decision Tree.ipynb
Decison Tree Data.xlsx		Decison Tree Data.xlsx
HR Employee Retention table.ipynb		HR Employee Retention table.ipynb
Hyper tuning.ipynb		Hyper tuning.ipynb
Iris data set K means.ipynb		Iris data set K means.ipynb
K Fold Cross Validation.ipynb		K Fold Cross Validation.ipynb
K means.ipynb		K means.ipynb
K_means.xlsx		K_means.xlsx
Melbourne House Pricing ( L1,L2).ipynb		Melbourne House Pricing ( L1,L2).ipynb
Multiclass Regression.ipynb		Multiclass Regression.ipynb
Naive Bayes 1.ipynb		Naive Bayes 1.ipynb
Neural_Network_Scratch.ipynb		Neural_Network_Scratch.ipynb
Neural_Network_layers.ipynb		Neural_Network_layers.ipynb
PCA.ipynb		PCA.ipynb
README.md		README.md
Random Forest.ipynb		Random Forest.ipynb
SVM_iris.ipynb		SVM_iris.ipynb
Tensorflow.ipynb		Tensorflow.ipynb
Titanic Survival.ipynb		Titanic Survival.ipynb
Untitled.ipynb		Untitled.ipynb
Untitled1.ipynb		Untitled1.ipynb
regression.ipynb		regression.ipynb

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