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Studied MS in (Applied Statistics and DataScience) at Jahangirnagar University

A little more about me...

from dataclasses import dataclass

@dataclass
class Introduction:
    work: list[str] = ["DataScience", "MachineLeaning","DeepLearning", "ComputerVision" ]
    interest: list[str] = ["Astronomy","Books","Literature","ArtWork"]
    misc     : list[str] = ["Collaboration", "Competitions"]
    funfact  : str = None

​

Languages and Tools:

[Python] [C] [Java] [Jupyter-notebook] [Tensorflow] [Visual Studio Code] [HTML5] [CSS3] [Qt] [Docker] [android] [Postgresql] [Git]



From: 14 February, 2022 - To: 21 February, 2022

Python       9 hrs 35 mins   ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   47.41 % 
Other        6 hrs 41 mins   ⣿⣿⣿⣿⣿⣿⣿⣿⣤⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   33.14 % 
Android      1 hr 49 mins    ⣿⣿⣤⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   09.02 % 
Bash         1 hr 11 mins    ⣿⣦⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   05.88 % 
Markdown     27 mins         ⣦⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀   02.24 % 

Umme Rubaiyat Chowdhury's Projects

100-days-of-code icon 100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

ainights icon ainights

A repository containing all resources for the AI Nights workshops

ainights-sessionowners icon ainights-sessionowners

A GitHub repository for session owners to access and learn content that can be delivered at AI Nights across the globe in April and September

cheat-sheet icon cheat-sheet

All Artificial Intelligence Cheat Sheet Collections What is included in this repository: 1. Machine Learning 2. Convolutional Neural Network 3. Recurrent Neural Network 4. Statistics 5. Logic Models 6. Reflex Models 7. Computer Vision 8. Artificial Intelligence

coursera-ml-andrewng icon coursera-ml-andrewng

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

custom_image_classification_in_ubuntu icon custom_image_classification_in_ubuntu

This custom image classification project is developed in ubuntu. Aim of this project is to identify whether the person is wearing glass or not. The final output will classify a person as known person (If the person is wearing a glass) or unknown person (If the person is not wearing a glass) in any video .

data-science icon data-science

Collection of useful data science topics along with code and articles

data_insight icon data_insight

A repository containing my projects, and assignments I have done during my one year DataScience training at Data Insight.

dl-workshop-series icon dl-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

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