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Updated 3 years ago
Lead Scoring Case Study
Submitted by - Aditya Keller & Pratyush Motwani
Importing Required Libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
import statsmodels.api as sm
from sklearn.feature_selection import RFE
from sklearn.feature_selection import RFECV
from sklearn.linear_model import LogisticRegression
from statsmodels.stats.outliers_influence import variance_inflation_factor
from sklearn import metrics
from sklearn.metrics import precision_score, recall_score
from sklearn.metrics import precision_recall_curve
plt.style.use('ggplot')
Filtering Warnings
import warnings
warnings.filterwarnings('ignore')