Discover @naresy Open Source projects

Naresh Upadhyay (@naresy)

naresy

Stars
9
Global Rank 1,019,200 (Top 36 %)
Followers 5
Following 4
Registered over 5 years ago
Most used languages

Java
42.9 %

Python
28.6 %

JavaScript
14.3 %

C#
14.3 %
Location 🇳🇵 Nepal
Country Total Rank 1,393
Country Ranking

Jupyter Notebook
92

C#
163

Java
165

CSS
371

Python
388

HTML
776

JavaScript
1,050

k-mean-cluster

graph implementation and making number of cluster of the xml data set

whatsappclone

complete social media app "whats app clone"

notification

notification alerting system mainly used for patient for medicine taken time

coupen

hospital-management-system

Advance-calculator-

full standard and scientific calculator based on python language

Event

Threading

Thirty_Days_Data_Engineering_challenge_7th_Day

Medallion Architecture demostration.

Jupyter Notebook

connect

Connect ips demo

Road_accident_analysis

E-Commerce-Sales-Insights-Analysis-By-POWERBI

naresy-Thirty_Days_Data_Engineering_challenge_9th-and-10th_Day

Jupyter Notebook

Image_captioning_Dataset

Using python creating dataset using image and image caption

sandy

fetch_data

Sales_report

This is my first Power Bi Project

Human_Disease_Prediction_System

Our disease prediction system uses advanced data analytics to forecast individual health risks, leveraging factors like genetics, lifestyle, and medical history for personalized insights and proactive healthcare strategies.

Thirty_days_Data_Engineering_challenge_day1

First day covering all the introduction part and read data from data set and visualize into the graph

Jupyter Notebook

Thirty_Days_Data_Engineering_challenge_4th_Day

Spark with sql query

Jupyter Notebook

Thirty_Days_Data_Engineering_challenge_5th_Day

Using Batch processing visualization of sale data and evaluating there is sale difference using null hypothesis

Jupyter Notebook

Thirty_Days_Data_Engineering_challenge_6th_Day

Create datapipeline

Jupyter Notebook

Thirty_Days_Data_Engineering_challenge_8th_Day

Data analysis=> Fraud Transaction analysis

Jupyter Notebook

Hacker-Rank-Basic-Skill-Student-Advisor-Solution

Thirty_Days_Data_Engineering_challenge_2nd_Day

Today i did the ETL process in Python and visualize the data in correlation matrix and histogram

Jupyter Notebook

Thirty_Days_Data_Engineering_challenge_3rd_Day

Data Partitioning in data Engineering using spark

Jupyter Notebook

naresy