Program 1 Heart Disease Predictor using ANN (Keras) We want to predict whether a person has heart disease or not based on multiple health parameters. This is a binary classification problem (0 = No...
Program 1 We want to predict a person’s electricity bill based on how many units they consumed per month and few additional features like: Units Consumed , No. of People in House , Use...
Program 1 import numpy as np # For data handling. import pandas as pd # # For data handling. from sklearn.model_selection import train_test_split # Split data into train and test. from sklearn.preprocessing import MinMaxScaler...
Program 1 YouTube Video Clustering Dataset YouTube Video Clustering Dataset 1 #YouTube Video Clustering by Views, Likes, and Watch Time import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn.cluster...
Program 1 Lifestyle Health Risk Dataset Lifestyle Health Risk Dataset 1 import pandas as pd # For handling tabular data. import numpy as np #For numerical operations and random data generation. import matplotlib.pyplot as...
Program 1 Customer Segmentation Dataset Customer Segmentation Dataset 1 # Librires import pandas as pd import numpy as np import matplotlib.pyplot as plt from sklearn.cluster import KMeans from sklearn.preprocessing import StandardScaler # Step 1:...
Program 1 from sklearn.cluster import KMeans import pandas as pd # Sample data data = pd.DataFrame({ “Income”: [15000, 16000, 90000, 95000, 60000, 62000,65000,98000,12000], “SpendingScore”: [90, 85, 20, 15, 50, 55,54,23,94] }) # Apply K-Means...
Program 1 Insurance Claim Approval Dataset # Step 1: Import required libraries import pandas as pd from sklearn.model_selection import train_test_split from sklearn.preprocessing import LabelEncoder from xgboost import XGBClassifier from sklearn.metrics import accuracy_score, confusion_matrix import...
Program 1 Diabetes Prediction Dataset import pandas as pd from sklearn.model_selection import train_test_split from xgboost import XGBClassifier from sklearn.metrics import accuracy_score from sklearn.preprocessing import LabelEncoder # Load data df = pd.read_csv(“D://scikit_data/diabetes/diabetes_prediction_dataset.csv”) # columns: Glucose,...
Program 1 Student Dropout Risk Prediction Dataset # Step 1: Import libraries #Student Dropout Risk Prediction import pandas as pd from sklearn.model_selection import train_test_split from sklearn.preprocessing import LabelEncoder from sklearn.ensemble import GradientBoostingClassifier from sklearn.metrics...
