Giter Site home page Giter Site logo

Kavyajeet Bora's Projects

big-data-spark-linkedin icon big-data-spark-linkedin

Want to get up and running with Apache Spark as soon as possible? If you're well versed in Python, the Spark Python API (PySpark) is your ticket to accessing the power of this hugely popular big data platform. This practical, hands-on course helps you get comfortable with PySpark, explaining what it has to offer and how it can enhance your data science work. To begin, instructor Jonathan Fernandes digs into the Spark ecosystem, detailing its advantages over other data science platforms, APIs, and tool sets. Next, he looks at the DataFrame API and how it's the platform's answer to many big data challenges. Finally, he goes over Resilient Distributed Datasets (RDDs), the building blocks of Spark. Learning objectives Benefits of the Apache Spark ecosystem Working with the DataFrame API Working with columns and rows Leveraging built-in Spark functions Creating your own functions in Spark Working with Resilient Distributed Datasets (RDDs)

bridge_beam_rotation icon bridge_beam_rotation

Animation showing the rotation of the beam of a bascules bridge during opening and closing

civil_engineering icon civil_engineering

Codes written in python for various applications in the field of civil engineering.

east icon east

EAST model for detecting indian signboards

encode_polyline icon encode_polyline

Simple web application to encode the standard linestring geometry objects to Google's Encoded Polyline Algorithm Format

geoplot icon geoplot

Plotting the borehole data from csv file

getosmdata icon getosmdata

Download OSM data by providing the extends on a map

git-github-the-practical-guide icon git-github-the-practical-guide

This repository has notes containing all the concepts about git and github taught in the udemy couse - Git & Github - The Practical guide

ifc icon ifc

Introduction of IFC and ifcopenshell-python

machine_learning_coursera icon machine_learning_coursera

this repository contains all the exercises from the course Machine learning by Andrew NG done in python programming language.

ml_algorithms icon ml_algorithms

this repository contains algorithms shared in blogs and articles

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.