Handson ML

Predict  house prices with dense neural networks and tensorflow

In a regression problem, we aim to predict the output of a continuous value, like a price or a probability. Contrast this with a classification problem, where we aim to select a class from a list of classes (for example, where a picture contains an apple or an orange, recognizing which fruit is in the picture).

Multi Label Classification Of Texts With NLTK

MultiLabelClassification-with-nltk MULTI LABEL CLASSIFICATION WITH NLTK¶ In this tutorial, I will show you how to predict tags for a text. In this post, we will build a multi-label model that’s capable of detecting different types of toxicity in a large number of Wikipedia comments which have been labeled by human raters for toxic behavior. The types of toxicity are: toxic severe_toxic obscene threat insult identity_hate The data set used can

Discrete Probability Distributions

8 Discrete Probability Distributions¶ 8.2 Binomial Distribution¶ The following code plots the probability mass function (PMF) of $B_{p,n}$, the binomial distribution with parameters $p$ and $n$. It contains interactive sliders that you can use to vary $n$ over the interval $[0,30]$ and $p$ over the interval $[0, 1]$. In [1]: %matplotlib inline Let us now load the required code and analyze it part by part. In [2]: # %load plot_pmf.py import numpy