Félix Revert FelixChop

Data scientist & Product manager

FelixChop / write_data.py

Created August 15, 2018 06:37

data.to_csv('my_new_file.csv', index=None)

FelixChop / read_csv.py

Created August 15, 2018 06:31

data = pd.read_csv('my_file.csv')

FelixChop / read_csv.py

Last active August 15, 2018 06:33

data = pd.read_csv('my_file.csv', sep=';', encoding='latin-1', nrows=1000, skiprows=[2,5])

FelixChop / load_pandas.py

Last active August 15, 2018 06:20

import pandas as pd

FelixChop / read_data.py

Created August 15, 2018 06:19

data = pd.read_csv('my_file.csv')

FelixChop / XGBoost_classifier.py

Created August 8, 2018 11:32

	model = XGBClassifier(silent=False,
	scale_pos_weight=1,
	learning_rate=0.01,
	colsample_bytree = 0.4,
	subsample = 0.8,
	objective='binary:logistic',
	n_estimators=1000,
	reg_alpha = 0.3,
	max_depth=4,
	gamma=10)

FelixChop / XGBoost_diagnostic_setup.py

Last active August 8, 2018 11:20

	eval_set = [(X_train, y_train), (X_test, y_test)]
	eval_metric = ["auc","error"]
	%time model.fit(X_train, y_train, eval_metric=eval_metric, eval_set=eval_set, verbose=True)

FelixChop / simple_draw.py

Created August 8, 2018 09:09

nx.draw(G)

FelixChop / create_graph.py

Created August 8, 2018 09:08

	import networkx as nx

	G = nx.from_pandas_edgelist(df=d, source=column_ID, target=column_ID+'_2', edge_attr=column_edge)

	G.add_nodes_from(nodes_for_adding=df.ID.tolist())

FelixChop / create_graph.py

Created August 8, 2018 09:03

	import networkx as nx

	G = nx.from_pandas_edgelist(df=d, source=column_ID, target=column_ID+'_2', edge_attr=column_edge)

	G.add_nodes_from(nodes_for_adding=d.ID.tolist())