Vivek Murali (@Vivek-Murali)
github

Vivek-Murali

Twitter logo Share LinkedIn logo Share Facebook logo Share

Top repositories

1

Buyer-s-playground

Implementation of Blockchain with forecasting of price in the field of Agriculture and fishery in India[Karnataka for now]
Python
11
star
2

Scrappers

Implementation of Various Scrapping Frameworks on real time websites {For Public Data Extraction Only}
Python
6
star
3

KafkaAirflow-

JavaScript
5
star
4

Mini-project-travelRecommender

Mini-Project College
HTML
4
star
5

Machine-Learning

Jupyter Notebook
4
star
6

powersystem

Python
3
star
7

Vivek-Murali

Config files for my GitHub profile.
3
star
8

ApacheSpark

Images for creating the Apache Cluster
Dockerfile
3
star
9

SQL-Dojo

3
star
10

Data-Engineering-Projects

Scrappers For Automated Data Extarctions with Airflow, Node.js, Python
Python
3
star
11

Spark-Refresher-Projects

This repository contains a collection of Spark projects and exercises aimed at refreshing your knowledge of Apache Spark. The projects are designed to cover various use cases and scenarios, allowing you to apply your Spark skills to real-world problems.
Jupyter Notebook
2
star
12

ApacheBeam

2
star
13

Data-Extraction

2
star
14

CarCrashAnalysis

BCG GAMMA CASE STUDY
Jupyter Notebook
2
star
15

Data-Analysis

2
star
16

Docker-Compose---Helm-Charts

Jupyter Notebook
2
star
17

Flask-Chat-Monitor

Python
1
star
18

Testing

Testing with Calling other reop
Python
1
star
19

Disaster_Response_Project

This is the Simple implementation of Disaster Response Pipeline
Jupyter Notebook
1
star
20

StreamingPipeline

Implementation of Kafka pipeline to process and validate scrapping information
Shell
1
star
21

Full-Stack-Developement

Learning Implementation of Individual Components in Django, HTML, CSS, JS & React
JavaScript
1
star
22

datasciencecoursera

Data-Science toolbox
1
star
23

F1-Analysis

1
star
24

Airbnb

Udacity Nano Degree Term 2 Assignment I
Jupyter Notebook
1
star
25

Getting-and-Cleaning-Data-Course-Project

To demonstrate to collect, work with, and clean a data set
R
1
star