Mahesh Reddy maheshkkumar

maheshkkumar / pycon-views.py

Last active August 29, 2015 14:08 — forked from miguelgrinberg/pycon-views.py

	import argparse
	import re
	from multiprocessing.pool import ThreadPool as Pool
	import requests
	import bs4

	root_url = 'http://pyvideo.org'
	index_url = root_url + '/category/50/pycon-us-2014'

maheshkkumar / logistic_regression_grapefruit.m

Created February 20, 2017 04:44 — forked from egonSchiele/logistic_regression_grapefruit.m

Logistic regression for orange vs grapefruit

	% data
	x = [1, 2, 3, 4, 5, 6];
	y = [0, 0, 0, 1, 1, 1];

	% function to calculate the predicted value
	function result = h(x, t0, t1)
	result = sigmoid(t0 + t1 * x);
	end

	% sigmoid function

maheshkkumar / non_linear_classification.m

Created February 20, 2017 04:44 — forked from egonSchiele/non_linear_classification.m

Non-linear classification example

	% my training data.
	% so if x > 3 \|\| x < 7, y = 1, otherwise y = 0.
	x = 1:100;
	y = [0, 0, 0, 1, 1, 1, 1, zeros(1, 93)];

	% instead of theta' * x, I'm trying to create
	% a non-linear decision boundary.
	% So instead of y = theta_0 + theta_1 * x, I use:
	function result = h(x, theta)
	result = sigmoid(theta(1) + theta(2) * x + theta(3) * ((x - theta(4))^2));

maheshkkumar / min-char-rnn.py

Created February 26, 2017 11:55 — forked from karpathy/min-char-rnn.py

Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy

	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)