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Name: Junaid khan
Type: User
Location: Hyderabad
Name: Junaid khan
Type: User
Location: Hyderabad
Employee turnover (attrition) is a major cost to an organization, and predicting turnover is at the forefront of needs of Human Resources (HR) in many organizations. Until now the mainstream approach has been to use logistic regression or survival curves to model employee attrition. However, with advancements in machine learning (ML), we can now get both better predictive performance and better explanations of what critical features are linked to employee attrition. In this post, we’ll use two cutting edge techniques.
Implementing a simple django project.
just checking how it works
we'll build and train a neural network to classify images of clothing, like sneakers and shirts. This guide uses the Fashion MNIST dataset, which contains 70,000 grayscale images in 10 categories.
The objective is to collect financials from the CDS table in N-Q, and N-CSR reports of SEC/EDGAR database servers.
Data Engineering on Google Cloud Platform
DataCamp data-science courses
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Test Django with algolia
In this notebook, we're going to reanalyze the data that made Semmelweis discover the importance of handwashing. Let's start by looking at the data that made Semmelweis realize that something was wrong with the procedures at Vienna General Hospital.
In this tutorial, we'll build and train a neural network to classify images of clothing, like sneakers and shirts.
Linear programming is a mathematical process that allows us to look at all the parameters to determine a maximum or minimum value where all of the parameters can be modeled by lines.
The dataset used was from MovieLens which is publicly available. Only two datasets have been used for building the model which are movies.csv and ratings.csv. It consist of 671 users who gave over 100,000 ratings for different movies.
This tutorial is on importing data to Elasticsearch from MySQL to visualize with Kibana.
The simple example for using python in object oriented approach. The repo consist of OOPs concept such as Inheritance, Polymorphism and Encapsulation. The resources are taken from the learn programming.academy by Tim Buchalka
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.