hdkjain Goto Github PK

100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable

al-go-rithms

:musical_note: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/

astro-example-dags

basics-html

HTML(Hyper text markup language) is mainly use to make webpages and web applications.I am going to show some basics in this project.

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

data-engineering-zoomcamp

Free Data Engineering course!

distributedsystemsbooks

This repository is created managing the files of sixth semester. It contains all books, slides, necessary document of all courses of sixth semester. Besides all short assignments, documents of those assignments and their presentation slides are stored here.

dlib-android

:dragon: Port dlib to Android

dsbooks

fossasia.org

FOSSASIA Website http://fossasia.org

hacktoberfest

Just an initialisation for beginners to contribute for open source.

hacktoberfest-2018

A repository for beginners to create their first Pull Request.

hashtagcashtag

My Insight Data Engineering Fellowship project. I implemented a big data processing pipeline based on ​lambda architecture​, that aggregates Twitter and US stock market data for user sentiment analysis using open source tools - ​Apache Kafka ​for data ingestions, Apache Spark ​& ​Spark Streaming ​for batch & real-time processing, ​Apache Cassandra

hdkjain.github.io

htmltransport

Making a site for import and export.

image-classifier-using-svm

ml-workshop

Machine Learning Workshop Files

python3-basics

Python was developed by Guido van Rossum in early 1990’s and its latest version is 3.6, we can simply call it as Python3. Python 3.0 was released in 2008.

python3-basics-1

Python was developed by Guido van Rossum in early 1990’s and its latest version is 3.6, we can simply call it as Python3. Python 3.0 was released in 2008.

rtu_hackathon_nobroker

Design a machine learning algorithm to predict the rent of a property. You will have following days available 100,000 property data from a particular City. Will have around 50 attributes of the property Data of the neighborhood of these properties You are free to source more data as needed. Given a new property your algorithm should be able to predict a rent range of the property.

scikit-learn

scikit-learn: machine learning in Python

sympy

A computer algebra system written in pure Python

temp_pred_jena_gru

Temperature predicted using GRU on Jena Global Warming dataset

time-series-arima-xgboost-rnn

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN