/dspt-useful-imports

List of Useful ML Imports:

  • Basic Python

    • import time
    • from tqdm.notebook import tqdm
    • import datetime
    • import random
    • import math
    • import sys
    • import os
    • import shutil
    • import json
    • import requests
    • import csv

  • Data Manipulation

    • import numpy as np
    • import pandas as pd

  • Visualization

    • from matplotlib import pyplot as plt
    • import seaborn as sns
    • import folium
    • from folium.plugins import HeatMap

  • Scikit-Learn

    • from sklearn.model_selection import train_test_split
    • from sklearn.preprocessing import StandardScaler
    • Modeling
      • Regression
        • from sklearn.linear_model import LinearRegression
        • from sklearn.tree import DecisionTreeRegressor
        • from sklearn.ensemble import RandomForestRegressor
        • from sklearn.linear_model import Lasso
        • from sklearn.linear_model import Ridge
        • from sklearn.linear_model import ElasticNet
        • from sklearn.svm import LinearSVR
      • Classification
        • from sklearn.linear_model import LogisticRegression
        • from sklearn.tree import DecisionTreeClassifier
        • from sklearn.ensemble import RandomForestClassifier
        • from sklearn.svm import LinearSVC
      • Clustering
        • from scipy.cluster import hierarchy
        • from scipy.cluster.hierarchy import dendrogram
        • from sklearn.cluster import AgglomerativeClustering
        • from sklearn.cluster import KMeans
        • from sklearn.cluster import DBSCAN
      • Dimmensionality Reduction
        • from sklearn.decomposition import PCA
      • Others
        • from sklearn import tree
    • Regression Metrics
      • from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score
    • (Binary) Classification Metrics
      • from sklearn.metrics import accuracy_score, recall_score, precision_score, f1_score
    • Cross-Validation
      • from sklearn.model_selection import KFold
      • from sklearn.model_selection import cross_val_score

  • Neural Networks

    • import tensorflow as tf
    • from tensorflow import keras
    • from tensorflow.keras import layers