commit-live-students · Jas-simran · Jan 12, 2019 · Jan 12, 2019
diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc
diff --git a/q01_load_data/__pycache__/__init__.cpython-36.pyc b/q01_load_data/__pycache__/__init__.cpython-36.pyc
diff --git a/q01_load_data/__pycache__/build.cpython-36.pyc b/q01_load_data/__pycache__/build.cpython-36.pyc
diff --git a/q01_load_data/build.py b/q01_load_data/build.py
@@ -1,10 +1,19 @@
+# %load q01_load_data/build.py
 # Default imports
 import pandas as pd
 from sklearn.model_selection import train_test_split
 
 
-path = 'data/house_prices_multivariate.csv'
+# Write your solution here
+def load_data(path, test_s=0.33, Random_state = 9):
+    df = pd.read_csv(path)
+    X = df.iloc[:,:-1]
+    y = df.iloc[:,-1]
+    X_train, X_test, y_train, y_test = train_test_split(X,y,test_size = test_s, random_state= Random_state)
+    return df, X_train, X_test, y_train, y_test
+
+
+
 
 
-# Write your solution here
 
diff --git a/q01_load_data/tests/__pycache__/__init__.cpython-36.pyc b/q01_load_data/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q01_load_data/tests/__pycache__/test_q01_load_data.cpython-36.pyc b/q01_load_data/tests/__pycache__/test_q01_load_data.cpython-36.pyc
diff --git a/q02_Max_important_feature/__pycache__/__init__.cpython-36.pyc b/q02_Max_important_feature/__pycache__/__init__.cpython-36.pyc
diff --git a/q02_Max_important_feature/__pycache__/build.cpython-36.pyc b/q02_Max_important_feature/__pycache__/build.cpython-36.pyc
diff --git a/q02_Max_important_feature/build.py b/q02_Max_important_feature/build.py
@@ -1,8 +1,22 @@
+# %load q02_Max_important_feature/build.py
 # Default imports
+import pandas as pd
+from sklearn.model_selection import train_test_split
 from greyatomlib.advanced_linear_regression.q01_load_data.build import load_data
 
 # We have already loaded the data for you
 data_set, X_train, X_test, y_train, y_test = load_data('data/house_prices_multivariate.csv')
 
 
 # Write your code here
+def Max_important_feature(path, test_s=0.33, Random_state = 4):
+    df = pd.read_csv(path)
+    X = df.iloc[:,:-1]
+    y = df.iloc[:,-1]
+    X_train, X_test, y_train, y_test = train_test_split(X,y,test_size = test_s, random_state= Random_state)
+    return df, X_train, X_test, y_train, y_test
+
+
+
+
+
diff --git a/q02_Max_important_feature/tests/__pycache__/__init__.cpython-36.pyc b/q02_Max_important_feature/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q02_Max_important_feature/tests/__pycache__/test_q02max_important_feature.cpython-36.pyc b/q02_Max_important_feature/tests/__pycache__/test_q02max_important_feature.cpython-36.pyc
diff --git a/q03_polynomial/__pycache__/__init__.cpython-36.pyc b/q03_polynomial/__pycache__/__init__.cpython-36.pyc
diff --git a/q03_polynomial/__pycache__/build.cpython-36.pyc b/q03_polynomial/__pycache__/build.cpython-36.pyc
diff --git a/q03_polynomial/build.py b/q03_polynomial/build.py
@@ -1,11 +1,31 @@
+# %load q03_polynomial/build.py
 # Default imports
 from greyatomlib.advanced_linear_regression.q01_load_data.build import load_data
 from sklearn.preprocessing import PolynomialFeatures
 from sklearn.pipeline import make_pipeline
 from sklearn.linear_model import LinearRegression
+import numpy as np
+from sklearn.model_selection import train_test_split
 
 # We have already loaded the data for you
 data_set, X_train, X_test, y_train, y_test = load_data('data/house_prices_multivariate.csv')
 
 
 # Write your solution here
+def polynomial(power=5,Random_state=9):
+    linear_pipe = make_pipeline(PolynomialFeatures(degree=power,include_bias=False), LinearRegression())
+
+    cols = data_set.corr()['SalePrice'].drop('SalePrice').sort_values(ascending = False)[0:4].index
+    X = data_set[cols]
+#     print(X.shape)
+    y = data_set['SalePrice']
+    X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=9, test_size = 0.33)
+
+    linear_pipe.fit(X_train,y_train)
+    print(linear_pipe.predict(np.array([4, 5, 6, 7]).reshape(1,-1)))
+    return linear_pipe
+
+
+polynomial(power=5,Random_state=9)
+
+
diff --git a/q03_polynomial/tests/__pycache__/__init__.cpython-36.pyc b/q03_polynomial/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q03_polynomial/tests/__pycache__/test_q03_polynomial.cpython-36.pyc b/q03_polynomial/tests/__pycache__/test_q03_polynomial.cpython-36.pyc