Ali Akbar S. aliakbars

Data Scientist

aliakbars / effective-engineering-1.py

Last active June 19, 2019 10:06

	import pymc3 as pm

	da_points_solved = [47,55,39,36,27,37,31,33,39,38,20,52,36,40,10,41,42,11,20,15,26,30,11,22,25,19,51,29,17,29,39,30,54,35]
	da_points = [82,68,64,45,27,48,43,46,52,46,39,59,55,59,35,65,61,18,27,37,38,42,34,27,30,37,51,36,30,42,47,47,62,57]

	sw_points_solved = [8,11,6,6,12,12,7,15,13,6,17,12,3,11,6,7,6,9,10,0,0,6,17,16,19,9,15,10,14,8,24,17]
	sw_points = [11,17,12,12,12,12,16,16,13,16,22,20,3,11,6,17,13,15,10,10,10,6,17,16,24,14,15,15,24,15,24,17]

	with pm.Model() as model:
	p_sw = pm.Beta('completion_rate_sw', alpha=1, beta=1)

aliakbars / bayesian-coin.py

Last active June 28, 2019 09:39

PyMC3 approach to solve Bayesian coin flip example

	import pymc3 as pm

	with pm.Model() as coinflip:
	which_coin = pm.Bernoulli('which_coin', 0.5)
	theta_biased = pm.Uniform('theta_biased', 0, 1)
	p = pm.math.switch(which_coin > 0.5, 0.5, theta_biased)
	heads = pm.Binomial('heads', n=2, p=p, observed=2)

	coin_trace = pm.sample(5000, tune=2500)

aliakbars / spacy-id.py

Created May 16, 2018 02:40

	from spacy.lang.id import Indonesian

	nlp = Indonesian()
	# additional "stop words"
	# bisa diganti dengan yang lain
	nlp.Defaults.stop_words.update(['nya', 'yg', 'aja', 'deh', 'ny', 'dr', 'sy', 'ya','klo','sdh',
	'udah','sampe','dah','tp','ga','gk','sih','gak','tdk','e','dgn','sm'])

	def tokenizer(text):
	# hanya mengambil lemma saja, bisa diganti yang lain jika dibutuhkan

aliakbars / kmeans.py

Created November 12, 2017 09:22

	import matplotlib.pyplot as plt
	from sklearn.datasets.samples_generator import make_blobs
	from sklearn.cluster import KMeans

	# Anda dapat mengganti nilai X dan y sesuai dengan kebutuhan Anda
	X, y = make_blobs(n_samples=300, centers=4,
	cluster_std=1.2, random_state=3)

	inertia = []
	for k in range(1,11):