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Hi šŸ‘‹, I'm Abhijith K S

A passionate Data and Decision Scientist from Ireland

aks3743

aks3743

  • šŸ”­ Iā€™m currently working on Natural Language Processing

  • šŸŒ± Iā€™m currently learning NLP, DL

  • šŸ‘Æ Iā€™m looking to collaborate on NLP projects, Computer vision

  • šŸ¤ Iā€™m looking for help with Computer vision

  • šŸ‘Øā€šŸ’» All of my projects are available at My Web Resume

  • šŸ’¬ Ask me about NLP, DL

  • šŸ“« How to reach me [email protected]

  • šŸ“„ Know about my experiences My Web Resume

Connect with me:

abhijith-k-s-aks3743/ aks3743/

Languages and Tools:

arduino bash docker flask git hadoop hive linux mongodb mssql mysql opencv pandas postgresql python pytorch scikit_learn seaborn sqlite tensorflow

Support:

aksstudy946



aks3743

Ā aks3743

aks3743

ABHIJITH K S's Projects

aks3743 icon aks3743

Config files for my GitHub profile.

deep-learning-for-simple-classification-model icon deep-learning-for-simple-classification-model

1. Load the attached csv file in python. Each row consists of feature 1, feature 2, class label. 2. Train two single/double hidden layer deep networks by varying the number of hidden nodes (4, 8, 12, 16) in each layer with 70% training and 30% validation data. Use appropriate learning rate, activation, and loss functions and also mention the reason for choosing the same. Report, compare, and explain the observed accuracy and minimum loss achieved. [0.5+1 mark] 3. Visually observe the dataset and design an appropriate feature transformation (derived feature) such that after feature transformation, the dataset can be classified using a minimal network architecture (minimum number of parameters). Design, train this minimal network, and report training and validation errors, and trained parameters of the network. Use 70% training and 30% validation data, appropriate learning rate, activation and loss functions. Explain the final results.

fridge-app icon fridge-app

Fridge App is a web-based application that allows users to keep track of the contents of their fridge. It is intended for anyone who wants to reduce food waste and stay organized in the kitchen.

made-with-ml icon made-with-ml

Learn how to responsibly develop, deploy and maintain production machine learning applications.

md_files-and-tricks icon md_files-and-tricks

This repo contains important information about markdown files that will be helpful while creating documentations

mlops-course icon mlops-course

A project-based course on the foundations of MLOps to responsibly develop, deploy and maintain ML.

retail_next_purchase_prediction icon retail_next_purchase_prediction

This is an analysis on diiffernt machine learning techniques that can be used in predicting whether a customer will make purchase in the next selected time frame

spam-or-ham-nlp icon spam-or-ham-nlp

The SMS Spam Collection is a set of SMS tagged messages that have been collected for SMS Spam research. It contains one set of SMS messages in English of 5,574 messages, tagged according to being ham (legitimate) or spam.

sql-practice icon sql-practice

Solutions to Problems For SQL on Leetcode, Hackerrank & DataLemur

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