diff --git a/__pycache__/__init__.cpython-36.pyc b/__pycache__/__init__.cpython-36.pyc index ebbd53a..edbcf10 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..631c1c2 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..05a4a1f 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..1e206ce 100644 --- a/q01_load_data/build.py +++ b/q01_load_data/build.py @@ -1,10 +1,12 @@ +# %load q01_load_data/build.py # Default imports import pandas as pd from sklearn.model_selection import train_test_split +def load_data(path , test_size= 0.33 , Random_state = 9 ): + df = pd.read_csv(path) + X = df.drop('SalePrice' , axis = 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 -path = 'data/house_prices_multivariate.csv' - - -# 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..c107efd 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..27094ac 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..195d2b9 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..520edb1 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..f433024 100644 --- a/q02_Max_important_feature/build.py +++ b/q02_Max_important_feature/build.py @@ -1,8 +1,15 @@ +# %load q02_Max_important_feature/build.py # Default imports +import pandas as pd 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') +def Max_important_feature(data_set ,target_variable='SalePrice' , n = 4 ): + df = data_set.corr()[target_variable].abs().sort_values(ascending = False) + return df.iloc[1:n+1].index + + + -# Write your code here 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..7d7fe54 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..a60d2a8 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/q03_polynomial/__pycache__/__init__.cpython-36.pyc b/q03_polynomial/__pycache__/__init__.cpython-36.pyc index aa42922..dc8b0d5 100644 Binary files a/q03_polynomial/__pycache__/__init__.cpython-36.pyc and b/q03_polynomial/__pycache__/__init__.cpython-36.pyc differ diff --git a/q03_polynomial/__pycache__/build.cpython-36.pyc b/q03_polynomial/__pycache__/build.cpython-36.pyc index 3be41d0..b5d43cb 100644 Binary files a/q03_polynomial/__pycache__/build.cpython-36.pyc and b/q03_polynomial/__pycache__/build.cpython-36.pyc differ diff --git a/q03_polynomial/build.py b/q03_polynomial/build.py index 26d8971..dc4864b 100644 --- a/q03_polynomial/build.py +++ b/q03_polynomial/build.py @@ -1,11 +1,27 @@ +# %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 # 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): + #poly_model = make_pipeline(PolynomialFeatures(power, include_bias=False), + # LinearRegression()) + # poly_model.fit(X_train[['OverallQual','GrLivArea','GarageCars','GarageArea']], y_train) + #poly = PolynomialFeatures(power, include_bias=False) + #poly.fit_transform(X_train[['OverallQual','GrLivArea','GarageCars','GarageArea']]) + poly_model = make_pipeline(PolynomialFeatures(power, include_bias=False),LinearRegression()) + poly_model.fit(X_train[['OverallQual','GrLivArea','GarageCars','GarageArea']], y_train) + return poly_model + + + + + diff --git a/q03_polynomial/tests/__pycache__/__init__.cpython-36.pyc b/q03_polynomial/tests/__pycache__/__init__.cpython-36.pyc index 6e20876..4af3320 100644 Binary files a/q03_polynomial/tests/__pycache__/__init__.cpython-36.pyc and b/q03_polynomial/tests/__pycache__/__init__.cpython-36.pyc differ diff --git a/q03_polynomial/tests/__pycache__/test_q03_polynomial.cpython-36.pyc b/q03_polynomial/tests/__pycache__/test_q03_polynomial.cpython-36.pyc index ef8c88b..a1baf91 100644 Binary files a/q03_polynomial/tests/__pycache__/test_q03_polynomial.cpython-36.pyc and b/q03_polynomial/tests/__pycache__/test_q03_polynomial.cpython-36.pyc differ diff --git a/q04_ridge/__pycache__/__init__.cpython-36.pyc b/q04_ridge/__pycache__/__init__.cpython-36.pyc index 4342136..1b5fea8 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..132a317 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..5eda2b0 100644 --- a/q04_ridge/build.py +++ b/q04_ridge/build.py @@ -1,15 +1,26 @@ +# %load q04_ridge/build.py # Default imports from sklearn.linear_model import Ridge +from sklearn.linear_model import LinearRegression 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 # 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) + +def ridge(alpha = 0.01): + model = Ridge(alpha = alpha , normalize = True) + model.fit(X_train , y_train) + #model.fit(X_train, y_train) + y = model.predict(X_train) + yt = model.predict(X_test) + RMSE = mean_squared_error (y,y_train) + RMSE1 = mean_squared_error (y_test,yt) + return np.sqrt(RMSE), np.sqrt(RMSE1) ,model -# Write your solution here diff --git a/q04_ridge/tests/__pycache__/__init__.cpython-36.pyc b/q04_ridge/tests/__pycache__/__init__.cpython-36.pyc index 6d021b5..3d2fe90 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..671c392 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..fa7f8b2 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..c759d80 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..5ed5b0b 100644 --- a/q05_lasso/build.py +++ b/q05_lasso/build.py @@ -1,14 +1,24 @@ +# %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): + model = Lasso(alpha =alpha , normalize = True) + model.fit(X_train,y_train ) + y = model.predict(X_train) + yt = model.predict(X_test) + RMSE = mean_squared_error (y,y_train) + RMSE1 = mean_squared_error (y_test,yt) + return np.sqrt(RMSE), np.sqrt(RMSE1) + + diff --git a/q05_lasso/tests/__pycache__/__init__.cpython-36.pyc b/q05_lasso/tests/__pycache__/__init__.cpython-36.pyc index 8869434..b95fc2d 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..2f9a3f4 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..b89f1a3 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..89710fd 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..4ba901b 100644 --- a/q06_cross_validation/build.py +++ b/q06_cross_validation/build.py @@ -1,13 +1,19 @@ +# %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): + scores = cross_val_score(Model, X, y, scoring='neg_mean_squared_error', cv=5) + mean_E= scores.mean() + return mean_E + diff --git a/q06_cross_validation/tests/__pycache__/__init__.cpython-36.pyc b/q06_cross_validation/tests/__pycache__/__init__.cpython-36.pyc index ca3f5cd..0653646 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..b54483e 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