standard import packages
# Import Packages
# Array and Dataframe processing:
import pandas as pd
import numpy as np
# Visualization:
import seaborn as sns
sns.set_style("darkgrid")
import matplotlib.pyplot as plt
%matplotlib inline
import plotly.graph_objects as go
import plotly.express as px
import plotly.figure_factory as ff
# Model Implementation
from sklearn.ensemble import RandomForestClassifier
from sklearn import svm
from sklearn.svm import SVC
from sklearn.neural_network import MLPClassifier
# from sklearn.linear_model import SGDCClassifier
# Metrics
from sklearn.metrics import confusion_matrix, classification_report
from sklearn.metrics import accuracy_score
# For scaling and preprocessing: StandardScaler, MinMaxScaler and MaxAbsScaler.
from sklearn import preprocessing
from sklearn.preprocessing import StandardScaler, LabelEncoder
# For Model Training and Testing:
from sklearn.model_selection import train_test_split
Are there any code examples left?
New code examples in category Python