Naive Bayes is a simple technique for constructing classifiers: models that assign class labels to problem instances, represented as vectors of feature values, where the class labels are drawn from some finite set. It is…
In pattern recognition, the k-Nearest Neighbors algorithm (or k-NN for short) is a non-parametric method used for classification and regression. In both cases, the input consists of the k closest training examples in the feature space. The output depends on whether k-NN is used for classification or regression
Supervised learning is the machine learning task of inferring a function from labeled training data. The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value (also called the supervisory signal).
In this Video, We will show how to install Anaconda 2.7. Follow the instructions to get started with your first iPython Notebook.
You will open a new Ipython notebook. Create a simple Python program and learn how basics of Ipython notebook. You will learn how to Add a Cell…..
In this article, we will show you how to install R Studio and create your first R Program. We will also touch concepts like Knit and Markdown files.
How am I going to be successful in this Artificial Intelligence world? What should I learn? Should I learn R , Python or Java / Scala ? Do I need a Phd to become successful? In this article, we are going to discuss soft-skills and hard skills required to be successful in this new world.
We started by saying – There is an APP for that. Now there is a new Buzz – Is there a BOT for that?
Venture Beat published an Article on August 11th this year touching upon BOTS landscape.
In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis.
In this article, we will discuss various solutions Machine Learning provides. We will provide example for each of the solutions.
For example – Product Recommendation System.
A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm.
KNN is a simple concept: define some distance metric between the items in your dataset, and find the K closest items. You can then use those items to predict some property of a test item, by having them somehow “vote” on it.
Introduction to tuples, set, list and dictionary
Playing with Pandas
Use scrapy , Xpath to scrap the data ( follow crawling ethics, rules and guidelines)