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Name: Rayhanul Islam Rumel
Type: User
Bio: Data Analysis Enthusiast
Location: Germany
Name: Rayhanul Islam Rumel
Type: User
Bio: Data Analysis Enthusiast
Location: Germany
I have used the Wisconsin Diagnostic Breast Cancer (WDBC) dataset to create predictive models that can classify benign and malignant tissue.
As a part of the Data Science course, I carried out an EDA as my project based upon the Corona Virus Dataset given by the staff of the course. Unfortunately the dataset lacked a lot of important information and was not properly populated, However, I tried to visualize the data and identify any significant trend or information by plotting Heatmap, Pie chart, Bar Graph, Correlation Graph etc.
In this project, using COVID19 of Germany, I did the data analysis using Python. Libraries that I used are: Numpy, Pandas, Seaborn, Matplotlib, Plotly.
Here, I work on cleaning a dataset using SQL. For that I used a dataset called Nashville Housing Data which is also available in the repository. I applied different cleaning techniques like standardizing a column value, split one column information into multiple columns, dealing with null values, removing duplicates and stuff like that.
Data Science:: Bank Marketing (Campaign) -- Group Project
This repository will showcase all the projects that I had done in order to become a Data Analyst.
In this project. I worked with MS Excel using a dataset called Bike Purchase Data. Here I performed the following approaches to process the data as well as visualize data:
I developed the simple expense tracker using one of the popular JS frameworks, React.JS
Week 6
EDA - G2M insight for Cab Investment firm
Here I have used housing.csv dataset which is availabl in the repository to predict the rent of a house. In order to solve the problem, I have used a very popular supervised learning method, Linear Regression as the model. I split the date into train and test set. Trained the model with the train set and predicted the date of test set. I also visualized both the predicted and true values in order to represent the quality of the model in predicting unseen data.
This repository contains the work implementation part of my thesis. Each experiment shows the successful execution of linkage attack against machine learning models. The aim of this attack is to expose whether two machine learning models are using similar trainset or not.
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Saarland University NNTI WS2021 NLP Final Project
Using HTML and CSS, I created this single page portfolio website.
All three ML attacks that I along with my teammates implemented during attending the course titled Privacy Enhancement Technologies by Prof. Yang Zhang at Saarland University during Summer Semester 2020.
This repo is for learning purpose. More specifically, I am learning CI/CD solutions using Azure DevOps.
This repository will contain all the assignments and projects I will do for SNLP summer semester 2019 in my masters
Spam or Ham?
In this repository, I practiced advanced queries like CTE, Stored Procedures, String functions, Substring, Temp Table.
This repository will show the SQL queries that I practiced while learning the basic SQL queries. Here I created two tables, inserted values into tables, selected values from the tables, used other queries like distinct, top, count, max, min, avg, where condition, and group by.
This repository contains intermediate level queries that I practiced while learning SQL. Here I used queries like Update and Delete, Join, Case statement, Union, Having, Alias, and Partition by. I used 3 different small sized datasets to execute these queries.
Data Glacier (Virtual Internship): Week 1 Assignment
To showcase my skills in WordPress, particularly using WooCommerce, I built this very basic E-commerce website (Acoustic Guitar purchasing site)
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.