In my post on Categorising Deep Seas of ML, I introduced you to problems of Classification (a subcategory of Supervised Learning).

But wait..we are talking Logistic “Regression”. 778 more words

In my post on Categorising Deep Seas of ML, I introduced you to problems of Classification (a subcategory of Supervised Learning).

But wait..we are talking Logistic “Regression”. 778 more words

You would need the following to make this work:

- Matplotlib
- Imagemagick

Imagemagick has replace the binary “Convert” to “Imagemagick” in version 7.0. If you encounter error when using… 103 more words

This post presents a short script that plots neural network performance on high-dimensional binary data using MatPlotLib in Python. Binary vectors, or vectors only containing 0 and 1, can be useful for representing categorical data or discrete phenomena. 696 more words

Đây là một thư viện khá là mạnh mẽ trong việc tạo biểu đồ với Python. Để bắt đầu với nó chúng ta cần install nó. 405 more words

In my last post, I gave you an intuition of types of Machine Learning problems. Here, we’ll be undertaking the problem of regression(or real values fitting) which is a sub-category of Supervised Machine Learning. 1,010 more words

Facebook recently released a forecasting library for Python and R, called Prophet. It’s designed for forecasting future values of time series of any kind, and is remarkably easy to get started with. 1,886 more words

Data fetched from Dice’s API http://www.dice.com/common/content/util/apidoc/jobsearch.html

73 more wordsimport numpy as np

import matplotlib.pyplot as pltN = 2

denver_means = (128, 33)ind = np.arange(N) # the x locations for the groups…