The machinelearning-scikitlearn from jayavathsan

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Using SciKit Learn few Deep Learning Rules and Algorithms are implemented

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machinelearning-scikitlearn's Introduction

🔭 I’m currently working on Machine Learning using various ML libraries and frameworks.
🌱 I’m currently learning Deep Learning
I am a google certified TensorFlow Developer
From November 2022 I have been exploring and learning a lot in the field of Machine Learning.
I have worked on 100+ personal projects in Regression, Classification, Computer Vision, Natural Language Processing and Large Language Models as part of my learning process
I have learned and experimented on successful open source models using open source and custom datasets.
I have implemented various algorithms on Supervised and Un-supervised learning.
I can build, train, evaluate and deploy models with ease.
I have deployed Large Language Models in Hugging Face spaces.
I am familiar with analysis tools such as WandB, tensorboard
My primary Machine Learning Skills include SciKit-Learn, Pandas, NumPy, PyTorch, OpenCV, TensorFlow, HuggingFace, Onnx, Keras

Few projects in the above links are yet to be uploaded. Stay connected. I will try and upload them ASAP.

Link to few Large Language Model appications deployed in HugginFace spaces: https://huggingface.co/Jayavathsan

My Projects and Applications

Title	Description
LLM apps	Apps developed using pretrained Large Language Models
Computer Vision	Models and projects on various computer vision models
Algorithms and Rules	Implementations of Machine Learning rules and algorithms
Un-Supervised Learning	Implementations of Unsupervised Deep Learning algorithms
PyTorch	Regression, Classification, GANs, Transfer Learning, NLP and Time series forecasting using PyTorch
Tensorflow	Regression, Classification, GANs, Transfer Learning, NLP and Time series forecasting using Tensorflow 2.x
OpenCV	Vision based models using OpenCV
HuggingFace	Leveraging pretrained models and transormers from Hugging Face

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