Victor I. Afolabi victor-iyi

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Artificial Intelligence & Machine Learning Engineer • Enhancing Human Intelligence • Python • Rust • Inventor

victor-iyi / fibonacci.py

Created August 27, 2017 14:19

Explore 4 different implementations of Fibonacci algorithm

	### PROGRAMMING FIBONACCI NUMBERS FROM BEGINNER TO EXPERT

	### Method: 1
	print('Method: 1')
	def fibonacci(no):
	series = [1,1]
	for _ in range(1, no-1):
	series.append(series[-1] + series[-2])
	return series

victor-iyi / neighbors.py

Created August 27, 2017 14:16

A Naïve implementation of the K-Nearest neighbor's algorithm

	from scipy.spatial.distance import euclidean
	from collections import Counter


	class KNeighborsClassifier:

	def __init__(self, k=5):
	self.k = k

	def fit(self, X_train, y_train):

victor-iyi / cart_pole.py

Created August 27, 2017 14:14

A trained deep neural net capable of playing the OpenAI's cart pole game 😎

	import gym
	import random
	import numpy as np
	import tflearn
	from tflearn.layers.core import input_data, dropout, fully_connected
	from tflearn.layers.estimator import regression
	from statistics import mean, median
	from collections import Counter

	LR = 1e-3

victor-iyi / sock_data.py

Created August 27, 2017 14:12

Retrieve stock information for any named company's ticker

	import matplotlib.pyplot as plt
	import matplotlib.dates as mdates
	import urllib
	import numpy as np

	def bytespdates2num(formt, encoding='utf-8'):
	strconverter = mdates.strpdate2num(formt)
	def bytesconverter(b):
	s = b.decode(encoding)
	return strconverter(s)

victor-iyi / source_code.py

Created August 27, 2017 14:11

Retrieve source code for any given URL

	import urllib.request
	import urllib.parse

	def get(url):
	try:

	headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.102 Safari/537.36'}
	req = urllib.request.Request(url, headers=headers)
	reqeust = urllib.request.urlopen(req)
	resp = request.read().decode()

victor-iyi / curse-of-dimensionality.py

Created August 27, 2017 14:10

Estimate how long to brute force 1000 possible weights to train a Neural network

	import numpy as np

	time_taken_for_one_weight = 0.04
	weights_to_try = 1000
	weights_in_net = 8 # for 1 layer
	one_year = 360024365

	years_to_train = time_taken_for_one_weight(weights_to_try*weights_in_net)/one_year
	print('{:,}'.format(years_to_train))

victor-iyi / regex.py

Created August 27, 2017 14:08

A guide to most used regular expressions in Python

victor-iyi / 5-layer-convnet.py

Created August 27, 2017 14:06

A five (5) layer Convolutional Neural Network for classifying MNIST handwritten digits


	# coding: utf-8

	# # 5-Layer Convnet for classifying the MNIST dataset

	# In[1]:

	# importing the dependencies
	import tensorflow as tf
	import numpy as np

victor-iyi / part-of-speech-tag.py

Created August 27, 2017 14:04

Guide on using part of speech tagging with NLTK

	import nltk
	from nltk.corpus import state_union
	from nltk.tokenize import PunktSentenceTokenizer


	'''
	POS tag list:

	CC coordinating conjunction
	CD cardinal digit

victor-iyi / lines-of-code.py

Created August 27, 2017 14:02

Estimate how many lines of code is in your project 😎

	import os
	import numpy as np

	project_dir = '/Users/victor/Documents/Devcrib/DigiSchools/desktop/digischools-desktop'
	ignored_files = ['node_modules', 'package-lock.json', 'uploads', 'fonts',
	'bootstrap-grid.min.css', 'bootstrap.css', 'bootstrap.min.css', 'dropzone.css',
	'owl.carousel.min.js', 'jquery.min.js', 'jquery-1.10.2.js', 'owl.carousel.min.css',
	'owl.theme.default.min.css', 'owl.video.play.png', 'pretty.min.css',
	'jquery_upload.min.js', 'datatables.min.js', 'dataTables', 'datatables.min.css',
	'bootstrap.min.js', 'dropzone.js', 'tether.min.js', 'wow.min.js', 'font-awesome.min.css',