sklearn, xgboost ModuleNotFoundError - tensorflow

Question

pip install -q hvplot
import pandas as pd
import numpy as np
import seaborn as sns
from scipy import stats
import matplotlib.pyplot as plt
import hvplot.pandas
from sklearn.model_selection import train_test_split, RandomizedSearchCV
from sklearn.preprocessing import MinMaxScaler
from sklearn.metrics import (
accuracy_score, confusion_matrix, classification_report,
roc_auc_score, roc_curve, auc,
plot_confusion_matrix, plot_roc_curve
)
from xgboost import XGBClassifier
from sklearn.ensemble import RandomForestClassifier
import tensorflow as tf
from tensorflow.keras.models import Sequential, Model
from tensorflow.keras.layers import Dense, Dropout, BatchNormalization
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.metrics import AUC
pd.set_option('display.float', '{:.2f}'.format)
pd.set_option('display.max_columns', 50)
pd.set_option('display.max_rows', 50)
I'm trying to run a code from Kaggle.
https://www.kaggle.com/code/faressayah/lending-club-loan-defaulters-prediction
However, I was stuck in the first few steps, which are the code lines above. I've spent hours on this and can't figure it out. I got the following error message
Does anyone know how to fix this? Thank you very much for helping out!