ML-intermediate-level-projects

This repository will help to address complex topics of machine learning such as clustering techniques, PCA and cross validation

Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
Digit recognition using random forest and confusion matrix.ipynb		Digit recognition using random forest and confusion matrix.ipynb
Employee retention using logistic regression.ipynb		Employee retention using logistic regression.ipynb
Hyperparameter tunning taking iris flower dataset.ipynb		Hyperparameter tunning taking iris flower dataset.ipynb
Iris flower detection using KNN.ipynb		Iris flower detection using KNN.ipynb
PCA_load_digits.ipynb		PCA_load_digits.ipynb
README.md		README.md
Titanic survival data.ipynb		Titanic survival data.ipynb
Visualizing data using K_cluster and elbow plot.ipynb		Visualizing data using K_cluster and elbow plot.ipynb
Wine_Quality(Local).csv		Wine_Quality(Local).csv
employee stats.csv		employee stats.csv
homeprices_one_hot_encoding.csv		homeprices_one_hot_encoding.csv
house price prediction using One hot Encoding .ipynb		house price prediction using One hot Encoding .ipynb
income_data_k_means.csv		income_data_k_means.csv
mail spam detection using pipeline method.ipynb		mail spam detection using pipeline method.ipynb
mail_detection.csv		mail_detection.csv
titanic_survival_data.csv		titanic_survival_data.csv
wine quality using naive bayes.ipynb		wine quality using naive bayes.ipynb

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