Machine Learning : Enter the kaggle world From Zero To Hero
In this post, I will collect all the useful resources to do Machine Learning, enter the Kaggle world and get good predictions !! Data Preprocessing : # Importing the libraries import numpy as np import matplotlib.pyplot as plt import pandas as pd # Importing the dataset dataset = pd.read_csv( 'Data.csv' ) X = dataset.iloc[:, :- 1 ].values y = dataset.iloc[:, 3 ].values # Splitting the dataset into the Training set and Test set from sklearn.cross_validation import train_test_split X_train, X_test, y_train, y_test = train_test_split(X, y, test_size= 0.2 , random_state= 0 ) # Feature Scaling from sklearn.preprocessing import StandardScaler sc_X = StandardScaler() X_train = sc_X.fit_transform(X_train) X_test = sc_X.transform(X_test) # Encoding categorical data from sklearn.preprocessing import LabelEncoder, OneHotEncoder labelencoder_X = LabelEncoder() X[:, 0 ] = labelencoder_X.fit_transform(X[:, 0 ]) onehotencoder = OneHotEncoder(categori...