1 Dataset: Handphone specification
2 Dataset: University graduate data by university
3 Dataset: Customer data
Specifically library:
Classification:
- from sklearn.model_selection import train_test_split
- from sklearn.neighbors import KNeighborsClassifier
- from sklearn.metrics import classification_report
- from sklearn.model_selection import cross_val_score
- from sklearn.cluster import KMeans
- from sklearn.metrics import confusion_matrix,classification_report
Clustering:
- import seaborn as sns
- from yellowbrick.cluster import KElbowVisualizer
- from matplotlib import colors
- from sklearn.cluster import KMeans
- from sklearn.decomposition import PCA
- from sklearn.preprocessing import StandardScaler
- from sklearn.cluster import AgglomerativeClustering