Please code in Python:

age	sex	fracture	weight_kg	height_cm	medication	waiting_time	bmd
57.0527678	1	0	64	155.5	1	18	0.8793
75.7412248	1	0	78	162	0	56	0.79460001
70.7789	0	0	73	170.5	0	10	0.90670002
78.2471753	1	0	60	148	0	14	0.7112
54.1918766	0	0	55	161	0	20	0.79089999
77.1777515	0	0	65	168	0	7	0.73009998
56.1806177	0	0	77	159	0	26	1.0096
49.9161399	1	0	59	150	0	9	0.73100001
68.4084033	0	0	64	167	1	6	0.6893
66.256648	0	0	72	159.5	0	10	0.94660002

The dataset linked above contains information about patients who may have bone fractures. The dataset contains the following information: - Age - Gender: Male (0), Female (1) - Fracture: No (0), Yes (1) -> Target variable - Weight in kg - Height in centimeters - Medication: No medication (0), Anticonvulsant or Glucocorticoids (1) - Waiting time - Bone mineral density (BMD) a. Partition the data into training and testing dataset in the ration of 7:3 (10 pts). b. Build the model using artificial neural networks and validate the model. Please provide your explanation if you need when you built the model (15 pts)