SHOWCASE OF DATA SCIENCE PROJECTS

Showcase your Artificial Intelligence, Machine Learning & DEEP Learning Projects. Download the codes from community developers and Learn.

H1B jobs
H1B jobs

Case study presenting findings of which state in the U.S. provides the most H1B jobs. Study also showcases H1B case status and the average salary for each state.

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at marketing@datatiles.io and mention her id number : SCU1026

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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.

Creating an R package from scratch
Creating an R package from scratch

In this article, we will show you the purpose of writing an R Package, building a package, writing description of your package, testing your package and finally distributing your package.

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

Contact marketing@datatiles.io if you want to hire author of this article,

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

supervised learning vs unsupervised learning
supervised learning vs unsupervised learning

Supervised learning is the machine learning task of inferring a function from labeled training data.[1] 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).

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 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.

Creating an R package from scratch
Creating an R package from scratch

In this article, we will show you the purpose of writing an R Package, building a package, writing description of your package, testing your package and finally distributing your package.

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