Artificial Intelligence, Machine Learning & DEEP Learning and blockchain technology

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Email Spam Classifier - Spam or ham?
Email Spam Classifier - Spam or ham?

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…

Build a Movie Recommendation System
Build a Movie Recommendation System

In pattern recognition, the k-Nearest Neighbors algorithm (or k-NN for short) is a non-parametric method used for classification and regression.[1] 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

Logistic regression
Logistic regression

Logistic regression was developed by statistician David Cox in 1958. The binary logistic model is used to estimate the probability of a binary response based on one or more predictor (or independent) variables (features). It allows one to say that the presence of a risk factor increases the odds of a given outcome by a specific factor. The model is a direct probability model and not a classifier.

Installing Anaconda 2.7

In this Video, We will show how to install Anaconda 2.7. Follow the instructions to get started with your first iPython Notebook.

Creating my First iPython Notebook using Jupyter
Creating my First iPython Notebook using Jupyter

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…..

My first day with R
My first day with R

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 to become a Data Scientist ?
How to become a Data Scientist ?

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.

Bots are coming next door
Bots are coming next door

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.

Handwritten digit images - using SVM
Handwritten digit images - using SVM

In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data used for classification and regression analysis.

Classification ? Regression ? Clustering? Recommendation ?
Classification ? Regression ? Clustering? Recommendation ?

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.

Forest , Trees and more (Decision Trees and Machine Learning)
Forest , Trees and more (Decision Trees and Machine Learning)

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.

Understanding k-NN classification
Understanding k-NN classification

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 List, Tuple , Dictionary
Introduction to List, Tuple , Dictionary

Introduction to tuples, set, list and dictionary

Introduction to Pandas
Introduction to Pandas

Playing with Pandas

Beautiful Soup HTML parser and Scrapy
Beautiful Soup HTML parser and Scrapy

Use scrapy , Xpath to scrap the data ( follow crawling ethics, rules and guidelines)

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