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Hi , I'm Kirtimaan Wani

I like experiencing New Technologies, building Small Projects in Data Science Field

kirtimaanwani

  • ๐Ÿ”ญ Iโ€™m currently working on Feature Engineering, Data pre-processing, Data collection , Model training and retraning Approach

  • ๐ŸŒฑ Iโ€™m currently learning Machine Learning Project Architecture,Deep Learning, Cloud Deployment

  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on Knowledge Transfer

  • ๐Ÿ’ฌ Ask me about Basics of Python,Basics of Maths in Data Science, ML, DL, NLP, Data Pipeline

  • ๐Ÿ“ซ How to reach me Gmail : [email protected], Discord_User_name: kirtimaan_wani#0293

  • โšก Fun fact I think I ask too much Questions!

Connect with me:

https://www.linkedin.com/in/kirtimaanwani/ kswani

Languages and Tools:

arduino css3 docker flask git html5 kafka mongodb mysql pandas python scikit_learn seaborn tensorflow

ย kirtimaanwani

kirtimaanwani

Github Activity Graph

kirtimaanwani's Projects

amazing-feature-engineering icon amazing-feature-engineering

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

applied-ml icon applied-ml

๐Ÿ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

applied_automated_ml icon applied_automated_ml

webapp from which it will directly splits cleaned dataset and apply approx all ml model according to classification and regression

ineuron_fsda_new icon ineuron_fsda_new

This repository contains all the files and folders taught in the class.Make use of it effectively

jina icon jina

๐Ÿ”ฎ Build multimodal AI services via cloud native technologies ยท Neural Search ยท Generative AI ยท Cloud Native

markdown-here icon markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

ml-roadmap-for-2022 icon ml-roadmap-for-2022

A curated list of Machine learning videos, links, projects and datasets to help you conquer the ML landscape in 6 months

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