Program 1 Stock Market Dataset # Import libraries import pandas as pd from sklearn.model_selection import train_test_split from sklearn.ensemble import GradientBoostingRegressor from sklearn.metrics import mean_squared_error, r2_score # Load dataset df = pd.read_csv(“D://scikit_data/stock/stock_market_dataset.csv”) df[“Date”] = pd.to_datetime(df[“Date”])...
Program 1 Salary Prediction Dataset # Salary Prediction Based on Skills and Experience using Gradient Boosting import pandas as pd from sklearn.model_selection import train_test_split from sklearn.preprocessing import OneHotEncoder from sklearn.compose import ColumnTransformer from sklearn.pipeline...
Program 1 Credit Card Fraud Dataset import pandas as pd import numpy as np from tkinter import * from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import train_test_split import matplotlib.pyplot as plt import seaborn as sns...
Program 1 Tourist Recommendation Dataset import pandas as pd from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import train_test_split from sklearn.metrics import accuracy_score, classification_report import matplotlib.pyplot as plt import seaborn as sns import matplotlib.pyplot as plt...
Program 1 Bollywood Movie Ratings Dataset # Movie Ratings Explorer # The Movie Ratings Explorer project visualizes and analyzes Bollywood movie # ratings based on type, year, and audience votes. # It helps identify...
Program 1 Flight Booking Dataset # Flight Booking Cancellation Prediction Using Decision Tree # To build a machine learning model that predicts whether a booked flight will be canceled or not, # based on...
Program 1 Restaurant Preference Dataset import pandas as pd from sklearn.preprocessing import LabelEncoder from sklearn.model_selection import train_test_split from sklearn.tree import DecisionTreeClassifier from sklearn.metrics import accuracy_score ,classification_report # Load Dataset df_rest=pd.read_csv(“D://scikit_data/rest/restaurant_preference.csv”) df_rest df_rest.shape df_rest.info() df_rest.isnull().sum()...
Program 1 Loan Dataset # Loan Approval Classifier for Microfinance Institutions Using Logistic Regression # Project is to predict whether a loan application should be approved or rejected # based on some parameters import...
Program 1 Login Dataset # Suspicious Login Detection Using Logistic Regression # Detect whether a login attempt is normal or suspicious # based on parameter like login time, location, device type, and previous failed...
Program 1 Admission Dataset # College Admission Eligibility Predictor Using Decision Tree import pandas as pd from sklearn.model_selection import train_test_split from sklearn.tree import DecisionTreeClassifier from sklearn.metrics import accuracy_score # Data Set Load df=pd.read_csv(‘admission_data1.csv’) #...
