Machine Learning
All Dataset files= HERE Experiment 1 Copy Code 1 Exp 1: Write a Program to predict the price of the Uber ride from a given pickup point to the agreed drop-off location import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt train_data = pd.read_csv('/content/drive/MyDrive/ML Lab Sem 7/uber.csv') train_data.head(2) train_data.drop(labels='Unnamed: 0',axis=1,inplace=True) train_data.drop(labels='key',axis=1,inplace=True) train_data.info() train_data['pickup_datetime'] = pd.to_datetime(train_data['pickup_datetime'],errors='coerce') train_data.info() train_data.isnull().sum() # to check no of null values train_data.dropna(axis = 0, inplace= True) train_data.isnull().sum() train_data["pickup_latitude"].max() min_longitude = -180 max_longitude = 180 min_latitude = -90 max_latitude = 90 invalid_rows = train_data[ (train_data["dropoff_latitude...

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