diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc index ebbd53a..18613df 100644 Binary files a/__pycache__/__init__.cpython-36.pyc and b/__pycache__/__init__.cpython-36.pyc differ diff --git a/q01_load_data/__pycache__/__init__.cpython-36.pyc b/q01_load_data/__pycache__/__init__.cpython-36.pyc index 745b533..13ef7e7 100644 Binary files a/q01_load_data/__pycache__/__init__.cpython-36.pyc and b/q01_load_data/__pycache__/__init__.cpython-36.pyc differ diff --git a/q01_load_data/__pycache__/build.cpython-36.pyc b/q01_load_data/__pycache__/build.cpython-36.pyc index 108e4a3..bafb0a1 100644 Binary files a/q01_load_data/__pycache__/build.cpython-36.pyc and b/q01_load_data/__pycache__/build.cpython-36.pyc differ diff --git a/q01_load_data/build.py b/q01_load_data/build.py index e4cd8e3..bb1441a 100644 --- a/q01_load_data/build.py +++ b/q01_load_data/build.py @@ -1,10 +1,24 @@ +# %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_size=0.33, random_state=9): +# df = pd.read_csv(path) +# X = df.drop(['SalePrice'],1) +# y = df['SalePrice'] +# X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=test_size, random_state=Random_state) +# return df, X_train, X_test, y_train, y_test + df = pd.read_csv(path) + X = df.iloc[:, :-1] + y = df['SalePrice'] + X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=test_size, 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 index 133357e..ffdcb8b 100644 Binary files a/q01_load_data/tests/__pycache__/__init__.cpython-36.pyc and b/q01_load_data/tests/__pycache__/__init__.cpython-36.pyc differ 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 index 689755b..bb48e18 100644 Binary files a/q01_load_data/tests/__pycache__/test_q01_load_data.cpython-36.pyc and b/q01_load_data/tests/__pycache__/test_q01_load_data.cpython-36.pyc differ diff --git a/q02_Max_important_feature/__pycache__/__init__.cpython-36.pyc b/q02_Max_important_feature/__pycache__/__init__.cpython-36.pyc index 93c9119..035d082 100644 Binary files a/q02_Max_important_feature/__pycache__/__init__.cpython-36.pyc and b/q02_Max_important_feature/__pycache__/__init__.cpython-36.pyc differ diff --git a/q02_Max_important_feature/__pycache__/build.cpython-36.pyc b/q02_Max_important_feature/__pycache__/build.cpython-36.pyc index 2b7cfd4..88cc0d7 100644 Binary files a/q02_Max_important_feature/__pycache__/build.cpython-36.pyc and b/q02_Max_important_feature/__pycache__/build.cpython-36.pyc differ diff --git a/q02_Max_important_feature/build.py b/q02_Max_important_feature/build.py index 51fbde6..d58ce68 100644 --- a/q02_Max_important_feature/build.py +++ b/q02_Max_important_feature/build.py @@ -1,3 +1,4 @@ +# %load q02_Max_important_feature/build.py # Default imports from greyatomlib.advanced_linear_regression.q01_load_data.build import load_data @@ -6,3 +7,14 @@ # Write your code here +def Max_important_feature(data_set,target_variable='SalePrice',n=4): + df1 = data_set.corr() + corrs = df1[target_variable].sort_values(ascending=False) + Correlation = list(corrs[1:(n+1)].index) + return Correlation + + + + + + diff --git a/q02_Max_important_feature/tests/__pycache__/__init__.cpython-36.pyc b/q02_Max_important_feature/tests/__pycache__/__init__.cpython-36.pyc index cec58d4..25fb3c2 100644 Binary files a/q02_Max_important_feature/tests/__pycache__/__init__.cpython-36.pyc and b/q02_Max_important_feature/tests/__pycache__/__init__.cpython-36.pyc differ 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 index cb6849b..ab730f5 100644 Binary files a/q02_Max_important_feature/tests/__pycache__/test_q02max_important_feature.cpython-36.pyc and b/q02_Max_important_feature/tests/__pycache__/test_q02max_important_feature.cpython-36.pyc differ diff --git a/q04_ridge/__pycache__/__init__.cpython-36.pyc b/q04_ridge/__pycache__/__init__.cpython-36.pyc index 4342136..0b8f633 100644 Binary files a/q04_ridge/__pycache__/__init__.cpython-36.pyc and b/q04_ridge/__pycache__/__init__.cpython-36.pyc differ diff --git a/q04_ridge/__pycache__/build.cpython-36.pyc b/q04_ridge/__pycache__/build.cpython-36.pyc index ea08c01..746431f 100644 Binary files a/q04_ridge/__pycache__/build.cpython-36.pyc and b/q04_ridge/__pycache__/build.cpython-36.pyc differ diff --git a/q04_ridge/build.py b/q04_ridge/build.py index 9ee00b1..eafe85e 100644 --- a/q04_ridge/build.py +++ b/q04_ridge/build.py @@ -1,15 +1,35 @@ +# %load q04_ridge/build.py # Default imports from sklearn.linear_model import Ridge import pandas as pd import numpy as np from sklearn.metrics import mean_squared_error from greyatomlib.advanced_linear_regression.q01_load_data.build import load_data -np.random.seed(9) +from sklearn.pipeline import make_pipeline +from sklearn.preprocessing import PolynomialFeatures # 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') +np.random.seed(9) + # Write your solution here +def ridge(alpha=0.01): + ridge_model1 =Ridge(alpha=alpha, normalize = True, random_state=9) + ridge_model1.fit(X_train, y_train) + + y_pred_test = ridge_model1.predict(X_test) + y_pred_train = ridge_model1.predict(X_train) + + rmse_test = np.sqrt(mean_squared_error(y_test, y_pred_test)) + rmse_train = np.sqrt(mean_squared_error(y_train, y_pred_train)) + + return rmse_train, rmse_test, ridge_model1 + + + + + diff --git a/q04_ridge/tests/__pycache__/__init__.cpython-36.pyc b/q04_ridge/tests/__pycache__/__init__.cpython-36.pyc index 6d021b5..845f42c 100644 Binary files a/q04_ridge/tests/__pycache__/__init__.cpython-36.pyc and b/q04_ridge/tests/__pycache__/__init__.cpython-36.pyc differ diff --git a/q04_ridge/tests/__pycache__/test_q04_ridge.cpython-36.pyc b/q04_ridge/tests/__pycache__/test_q04_ridge.cpython-36.pyc index 0549421..cd3567e 100644 Binary files a/q04_ridge/tests/__pycache__/test_q04_ridge.cpython-36.pyc and b/q04_ridge/tests/__pycache__/test_q04_ridge.cpython-36.pyc differ diff --git a/q05_lasso/__pycache__/__init__.cpython-36.pyc b/q05_lasso/__pycache__/__init__.cpython-36.pyc index 1005306..9c2a6a3 100644 Binary files a/q05_lasso/__pycache__/__init__.cpython-36.pyc and b/q05_lasso/__pycache__/__init__.cpython-36.pyc differ diff --git a/q05_lasso/__pycache__/build.cpython-36.pyc b/q05_lasso/__pycache__/build.cpython-36.pyc index b4ea629..0a515f0 100644 Binary files a/q05_lasso/__pycache__/build.cpython-36.pyc and b/q05_lasso/__pycache__/build.cpython-36.pyc differ diff --git a/q05_lasso/build.py b/q05_lasso/build.py index fb30d50..8105b9e 100644 --- a/q05_lasso/build.py +++ b/q05_lasso/build.py @@ -1,14 +1,31 @@ +# %load q05_lasso/build.py # Default imports from sklearn.linear_model import Lasso import pandas as pd import numpy as np from sklearn.metrics import mean_squared_error from greyatomlib.advanced_linear_regression.q01_load_data.build import load_data -np.random.seed(9) # 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') +np.random.seed(9) + # Write your solution here +def lasso(alpha=0.01): + lasso_model1 =Lasso(alpha=alpha, normalize = True, random_state=9) + lasso_model1.fit(X_train, y_train) + + y_pred_test = lasso_model1.predict(X_test) + y_pred_train = lasso_model1.predict(X_train) + + rmse_test = np.sqrt(mean_squared_error(y_test, y_pred_test)) + rmse_train = np.sqrt(mean_squared_error(y_train, y_pred_train)) + + return rmse_train, rmse_test + + + + diff --git a/q05_lasso/tests/__pycache__/__init__.cpython-36.pyc b/q05_lasso/tests/__pycache__/__init__.cpython-36.pyc index 8869434..b3ebbfe 100644 Binary files a/q05_lasso/tests/__pycache__/__init__.cpython-36.pyc and b/q05_lasso/tests/__pycache__/__init__.cpython-36.pyc differ diff --git a/q05_lasso/tests/__pycache__/test_q05_lasso.cpython-36.pyc b/q05_lasso/tests/__pycache__/test_q05_lasso.cpython-36.pyc index 438235e..59aa78e 100644 Binary files a/q05_lasso/tests/__pycache__/test_q05_lasso.cpython-36.pyc and b/q05_lasso/tests/__pycache__/test_q05_lasso.cpython-36.pyc differ diff --git a/q06_cross_validation/__pycache__/__init__.cpython-36.pyc b/q06_cross_validation/__pycache__/__init__.cpython-36.pyc index fa7d8bf..d706c4f 100644 Binary files a/q06_cross_validation/__pycache__/__init__.cpython-36.pyc and b/q06_cross_validation/__pycache__/__init__.cpython-36.pyc differ diff --git a/q06_cross_validation/__pycache__/build.cpython-36.pyc b/q06_cross_validation/__pycache__/build.cpython-36.pyc index 19e8bd8..51d822e 100644 Binary files a/q06_cross_validation/__pycache__/build.cpython-36.pyc and b/q06_cross_validation/__pycache__/build.cpython-36.pyc differ diff --git a/q06_cross_validation/build.py b/q06_cross_validation/build.py index e39b93b..c6c2a4b 100644 --- a/q06_cross_validation/build.py +++ b/q06_cross_validation/build.py @@ -1,13 +1,22 @@ +# %load q06_cross_validation/build.py # Default imports from sklearn.model_selection import cross_val_score import numpy as np from greyatomlib.advanced_linear_regression.q01_load_data.build import load_data -np.random.seed(9) # 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') +np.random.seed(9) + # Write your solution here +def cross_validation(model, X, y): + model.fit(X_train,y_train) + scores = cross_val_score(model, X, y, scoring='neg_mean_squared_error', cv=5) + mean_error_scores = scores.mean() + return mean_error_scores + + diff --git a/q06_cross_validation/tests/__pycache__/__init__.cpython-36.pyc b/q06_cross_validation/tests/__pycache__/__init__.cpython-36.pyc index ca3f5cd..2d0ed39 100644 Binary files a/q06_cross_validation/tests/__pycache__/__init__.cpython-36.pyc and b/q06_cross_validation/tests/__pycache__/__init__.cpython-36.pyc differ diff --git a/q06_cross_validation/tests/__pycache__/test_q06_cross_validation.cpython-36.pyc b/q06_cross_validation/tests/__pycache__/test_q06_cross_validation.cpython-36.pyc index e7acaaf..e7aa78e 100644 Binary files a/q06_cross_validation/tests/__pycache__/test_q06_cross_validation.cpython-36.pyc and b/q06_cross_validation/tests/__pycache__/test_q06_cross_validation.cpython-36.pyc differ