New Text Document.txt

import pandas as pd
from sklearn.linear_model import LinearRegression

# Load the data into a Pandas dataframe
data = pd.read_csv("PredictionData.csv")

# Split the data into training and testing sets
X_train = data[["attendance", "internal", "t_rating", "p_rating"]]
y_train = data["final_marks"]

# Create a linear regression model and fit it to the training data
model = LinearRegression()
model.fit(X_train, y_train)

# Make predictions on new data
X_new = [[80, 60, 85, 75]] # Example new data
y_pred = model.predict(X_new)

print(y_pred) # Prints the predicted final marks for the new data




all others are 0 p_rating 70 or above final marks is 40