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Hi šŸ‘‹, I'm Shubham Kumbhar

Coding

  • šŸŒ± Iā€™m currently learning Large Language Models (LLM), I believe in the potential of LLM to revolutionize how we interact with and derive insights from textual data.

  • šŸ’¬ Ask me about ML Projects or Deep neural networks, architectures, or any DL challenges you're facing also current trends in the fields like NLP applications

  • šŸ“« Reach out via a email [email protected] Let's innovate, learn, and create with data!

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Shubham Kumbhar's Projects

bank_customer_chrun_prediction icon bank_customer_chrun_prediction

Customer churn prediction is the process of using machine learning models to identify customers who are likely to leave in the near future.

brain-blast icon brain-blast

The BrainyBowl web app is built using React JS. It allows the user to select the criteria for their quiz from a list of options. The user can then proceed to answer the questions in the quiz and their performance will be tracked and shown in the scoreboard.

breast-cancer-prediction-using-deep-learning icon breast-cancer-prediction-using-deep-learning

This project employs an Artificial Neural Network (ANN) to predict breast cancer based on numerical features. With an accuracy of 96 % without overfitting our approach demonstrates the potential of AI in early detection

camvisionai-computer-vision-based-object-detection icon camvisionai-computer-vision-based-object-detection

Welcome to our Object Detection project, where we leverage the power of Next.js and TensorFlow's Machine Learning capabilities to identify objects within images. This project utilizes MobileNet-V2, a lightweight deep learning model, trained on the extensive COCO dataset, ensuring accurate and efficient object detection.

complete-text-analysis-using-natural-language-processing icon complete-text-analysis-using-natural-language-processing

An NLP based APP includes features for spam detection, sentiment analysis, stress detection, hate and offensive content detection, and sarcasm detection. It leverages Natural Language Processing (NLP) techniques and machine learning models to analyze and classify text inputs. Table of Contents

convolutional-neural-networks icon convolutional-neural-networks

This repository contains the implementation of a Convolutional Neural Network (CNN), a powerful deep learning architecture commonly used for image-related tasks.

customer-segmentation-machine-learning- icon customer-segmentation-machine-learning-

Customer segmentation using machine learning technique to divide a customer into distinct groups based on similarities between customers. This helps businesses tailor their marketing strategies to specific customer segments.

deep-learning-projects-using-artificial-neural-networks icon deep-learning-projects-using-artificial-neural-networks

Explore a collection of deep learning projects showcasing the power of neural networks in various applications. From predicting churn in customer data to image classification using the MNIST dataset, each project demonstrates the versatility and effectiveness of deep learning models.

deep_autoviml icon deep_autoviml

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

devcraft_devclash_hackthon icon devcraft_devclash_hackthon

An Hackthon Winning Smart AI Based Solution to Farmers for predicting plant leaf diseases using deep learning and large language model

diabetes-prediction-webapp-using-machine-learning icon diabetes-prediction-webapp-using-machine-learning

A Diabetes Prediction web app using machine learning is an application that utilizes a trained machine learning model to predict whether a person has diabetes based on input features such as glucose levels, blood pressure, BMI, age, etc.

diamond_price_prediction icon diamond_price_prediction

Predict the price of diamonds with machine learning! This project leverages data-driven insights to develop a model capable of accurately estimating the price of diamonds based on various features.

ei-systems-internship-project icon ei-systems-internship-project

Welcome to the Credit Card Fraud Detection project repository. This project leverages machine learning techniques to identify fraudulent credit card transactions in a dataset

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