commit-live-students · dhananjay93 · Nov 4, 2018 · Nov 4, 2018 · Nov 15, 2018 · Nov 15, 2018
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
@@ -1,4 +1,12 @@
+# %load q01_load_data/build.py
 import pandas as pd
-
+path = 'data/student-mat.csv'
 # Write your code below
+def load_data(path):
+    df = pd.read_table(path , sep =';')
+    return df
+
 
+
+
+
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.cpython-36.pyc b/q01_load_data/tests/__pycache__/test.cpython-36.pyc
diff --git a/q02_data_split/__pycache__/__init__.cpython-36.pyc b/q02_data_split/__pycache__/__init__.cpython-36.pyc
diff --git a/q02_data_split/__pycache__/build.cpython-36.pyc b/q02_data_split/__pycache__/build.cpython-36.pyc
diff --git a/q02_data_split/build.py b/q02_data_split/build.py
@@ -1,8 +1,16 @@
+# %load q02_data_split/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from sklearn.model_selection import train_test_split
 import pandas as pd
 df = load_data('data/student-mat.csv')
 
 # Write your code below
-
-
+def split_dataset(df):
+    X = df.iloc[:,:-1]
+    y = df['G3']
+    # split the data with 50% in each set
+    X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=9, train_size=0.8)
+    return X_train, X_test, y_train, y_test
+
+
+
diff --git a/q02_data_split/tests/__pycache__/__init__.cpython-36.pyc b/q02_data_split/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q02_data_split/tests/__pycache__/test.cpython-36.pyc b/q02_data_split/tests/__pycache__/test.cpython-36.pyc
diff --git a/q03_data_encoding/__pycache__/__init__.cpython-36.pyc b/q03_data_encoding/__pycache__/__init__.cpython-36.pyc
diff --git a/q03_data_encoding/__pycache__/build.cpython-36.pyc b/q03_data_encoding/__pycache__/build.cpython-36.pyc
diff --git a/q03_data_encoding/build.py b/q03_data_encoding/build.py
@@ -1,3 +1,4 @@
+# %load q03_data_encoding/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 from sklearn.preprocessing import LabelEncoder
@@ -6,9 +7,18 @@
 df = load_data('data/student-mat.csv')
 
 x_train, x_test, y_train, y_test =  split_dataset(df)
-
+X_transform = x_train
+X_test_transform  = x_test
 # Write your code below
-
-
+def label_encode(x_train, x_test):
+    lb_make = LabelEncoder()
+    a = x_train.select_dtypes(exclude=[np.number]).columns.values
+    for i in range(len(a)):
+        X_transform[a[i]]= lb_make.fit_transform(x_train[a[i]])
+    b = x_train.select_dtypes(exclude=[np.number]).columns.values
+    for i in range(len(b)):
+        X_test_transform[b[i]]= lb_make.fit_transform(x_test[b[i]])
+    return X_transform,X_test_transform
+
 
 
diff --git a/q03_data_encoding/tests/__pycache__/__init__.cpython-36.pyc b/q03_data_encoding/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q03_data_encoding/tests/__pycache__/test.cpython-36.pyc b/q03_data_encoding/tests/__pycache__/test.cpython-36.pyc
diff --git a/q04_data_visualisation/__pycache__/__init__.cpython-36.pyc b/q04_data_visualisation/__pycache__/__init__.cpython-36.pyc
diff --git a/q04_data_visualisation/build.py b/q04_data_visualisation/build.py
@@ -1,16 +1,24 @@
-# -*- coding: utf-8 -*-
+# %load q04_data_visualisation/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 from greyatomlib.multivariate_regression_project.q03_data_encoding.build import label_encode
-
+import numpy as np
 import matplotlib.pyplot as plt
 from pandas.plotting import scatter_matrix
 data = load_data('data/student-mat.csv') 
+path = 'data/student-mat.csv'
 x_train, x_test, y_train, y_test =  split_dataset(data)
 x_train,x_test = label_encode(x_train,x_test)
 
 # Write your code below
+def visualise_data(data,path):
+    df = data[list(data.select_dtypes(include=[np.number]).columns.values)
+    scatter_matrix(df, alpha=0.2)
 
 
 
 
+
+visualise_data(data,path)
+
+
diff --git a/q04_data_visualisation/tests/__pycache__/__init__.cpython-36.pyc b/q04_data_visualisation/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q04_data_visualisation/tests/__pycache__/test.cpython-36.pyc b/q04_data_visualisation/tests/__pycache__/test.cpython-36.pyc
diff --git a/q05_linear_regression_model/__pycache__/__init__.cpython-36.pyc b/q05_linear_regression_model/__pycache__/__init__.cpython-36.pyc
diff --git a/q05_linear_regression_model/__pycache__/build.cpython-36.pyc b/q05_linear_regression_model/__pycache__/build.cpython-36.pyc
diff --git a/q05_linear_regression_model/build.py b/q05_linear_regression_model/build.py
@@ -1,6 +1,8 @@
+# %load q05_linear_regression_model/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
-
+import numpy as np
+import pandas as pd
 from sklearn.linear_model import LinearRegression
 from greyatomlib.multivariate_regression_project.q03_data_encoding.build import label_encode
 
@@ -10,6 +12,22 @@
 
 x_train, x_test = label_encode(x_train,x_test)
 
+y = df.loc[:, df.columns == 'G3']
+X = df.loc[:, df.columns != 'G3']
+
+X = X.apply(pd.to_numeric, errors='coerce')
+y = y.apply(pd.to_numeric, errors='coerce')
+X = pd.DataFrame(X).fillna(0)
 
 # Write your code below
+def linear_regression(X,y):
+    lm = LinearRegression()
+    #lm.fit(X[:, np.newaxis], y)
+    lm.fit(pd.DataFrame(X), pd.DataFrame(y))
+    return lm
+
+
 
+
+
+
diff --git a/q05_linear_regression_model/tests/__pycache__/__init__.cpython-36.pyc b/q05_linear_regression_model/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q05_linear_regression_model/tests/__pycache__/test.cpython-36.pyc b/q05_linear_regression_model/tests/__pycache__/test.cpython-36.pyc
diff --git a/q06_cross_validation/__pycache__/__init__.cpython-36.pyc b/q06_cross_validation/__pycache__/__init__.cpython-36.pyc
diff --git a/q06_cross_validation/__pycache__/build.cpython-36.pyc b/q06_cross_validation/__pycache__/build.cpython-36.pyc
diff --git a/q06_cross_validation/build.py b/q06_cross_validation/build.py
@@ -1,3 +1,4 @@
+# %load q06_cross_validation/build.py
 from greyatomlib.multivariate_regression_project.q01_load_data.build import load_data
 from greyatomlib.multivariate_regression_project.q02_data_split.build import split_dataset
 
@@ -18,4 +19,11 @@
 model =linear_regression(x_train,y_train)
 
 # Write your code below
+def cross_validation_regressor(model , x_train, y_train):
+    scores = cross_val_score(model,x_train, y_train, scoring='r2', cv=3)
+    return scores.mean()
 
+
+cross_validation_regressor(model , x_train, y_train)
+
+
diff --git a/q06_cross_validation/tests/__pycache__/__init__.cpython-36.pyc b/q06_cross_validation/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q06_cross_validation/tests/__pycache__/test.cpython-36.pyc b/q06_cross_validation/tests/__pycache__/test.cpython-36.pyc
diff --git a/q07_regression_pred/__pycache__/__init__.cpython-36.pyc b/q07_regression_pred/__pycache__/__init__.cpython-36.pyc
diff --git a/q07_regression_pred/__pycache__/build.cpython-36.pyc b/q07_regression_pred/__pycache__/build.cpython-36.pyc
diff --git a/q07_regression_pred/build.py b/q07_regression_pred/build.py
@@ -1,3 +1,4 @@
+# %load q07_regression_pred/build.py
 
 from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score
 
@@ -20,3 +21,14 @@
 
 
 # Write your code below    
+def regression_predictor(model,x_train,y_train):
+    y_pred = model.predict(x_test)
+    mae = mean_absolute_error(y_pred, y_test)
+    mse = mean_squared_error(y_pred, y_test)
+    r2 = r2_score(y_test, y_pred)
+    return y_pred,mse,mae, r2
+
+
+
+
+
diff --git a/q07_regression_pred/tests/__pycache__/__init__.cpython-36.pyc b/q07_regression_pred/tests/__pycache__/__init__.cpython-36.pyc
diff --git a/q07_regression_pred/tests/__pycache__/test.cpython-36.pyc b/q07_regression_pred/tests/__pycache__/test.cpython-36.pyc