# Cell 1 - Pandas: Dropping Columns
import pandas as pd
df0 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
print(df0)

   A  B
0  1  4
1  2  5
2  3  6

# Cell 2 - Scikit-learn: Feature Scaling
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
import numpy …

import streamlit as st

st.set_page_config(page_title="Resume Ranker", layout="wide")
st.title("📄 Resume Ranker")

2025-06-29 18:16:24.949 WARNING streamlit.runtime.scriptrunner_utils.script_run_context: Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.
2025-06-29 18:16:24.952 WARNING streamlit …

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error, r2_score

data = pd.read_csv(r'C:\Users\HP\Desktop\OIB-SIP\salesprediction\dataset\Advertising.csv')

print("First 5 rows …

import streamlit as st
from textblob import TextBlob

st.title("😊 Sentiment Analyzer")

2025-06-29 18:09:29.122 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored when running in bare mode.
2025-06-29 18:09:29.127 Thread 'MainThread': missing ScriptRunContext! This warning can be ignored …

import pandas as pd
from io import StringIO

data = """Name,Math,Physics,Chemistry
Sara,88,92,85
Ali,76,81,79
Afia,95,90,96
John,55,60,58
Lina,66,74,70"""

df = pd.read_csv(StringIO(data))
df

import pandas as pd
import numpy as np
rng = pd.date_range('2023-01-01', periods=10, freq='D')
df = pd.DataFrame({'date': rng, 'value': np.random.randn(10)})
df.set_index('date').rolling(window=3).mean()

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

data = pd.read_csv(r"C:\Users\HP\Desktop\OIB-SIP\unemploymentanalysis\unemployment\Unemployment in India.csv")

print("Data Shape:", data.shape)

Data Shape: (768, 7)

print("\nFirst 5 Rows:\n", data.head())

First 5 Rows:
            Region         Date …

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

df = pd.read_csv(r'C:\datasets\youtube_stats.csv')
df