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

License: Apache License 2.0

Jupyter Notebook 100.00%

dl-workshop-series's Introduction

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 % 

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