Ecosyste.ms: Awesome
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Projects in Awesome Lists by kunalshelke90
A curated list of projects in awesome lists by kunalshelke90 .
https://github.com/kunalshelke90/predict-bank-credit-risk-using-south-german-credit-data
This is an end-to-end ML project, which aims at developing a classification model for the problem of classifying a given customer profile into either of the risk category (safe or not safe). The final classifier used for this project is CatBoost classifier. Deployed in AWS.
aws cassandra catboost-classifier classification credit-risk data data-science dataanalysis dockerfile finance financial-analysis flask github-actions logging machine-learning mlflow numpy pandas python
Last synced: 12 Oct 2024
https://github.com/kunalshelke90/potato_disease_classification
Potato Disease Classification using TensorFlow is a project designed to identify three types of potato plant health: Early Blight, Healthy, and Late Blight. This machine learning model employs convolutional neural networks (CNNs) to analyze images, aiding farmers in early disease detection and crop protection.
Last synced: 01 Nov 2024
https://github.com/kunalshelke90/students_marks_prediction_in_exams
Students Performance Evaluation using Feature Engineering, Feature Extraction, Manipulation of Data, Data Analysis, Data Visualization .Later on deployed on AWS with help of docker
dokcerfile flask githubactions machine-learning matplotlib mlops numpy pandas python seaborn
Last synced: 09 Nov 2024
https://github.com/kunalshelke90/kunalshelke90
💻 Machine Learning Enthusiast | Data Science Explorer | eager about solving problems with help of data.
data data-science dataanalysis database machine-learning mlops
Last synced: 09 Nov 2024
https://github.com/kunalshelke90/wine-quality-testing
This project is about creating a machine learning algorithm that can predict the quality of wine based on the given dataset. Different machine learning algorithms such as logistic regression, decision tree and random forest are used in this project.
eda feature-engineering flask machine-learning numpy pandas python
Last synced: 09 Nov 2024
https://github.com/kunalshelke90/diamondpriceprediction
This project focuses on developing a machine learning model to predict the price of diamonds based on various attributes. By analyzing a dataset that includes information about the carat weight, cut, color, clarity, and other factors, we aim to create a model that can accurately estimate the price of diamonds
aws dagshub eda feature-engineering flask githubactions machine-learning mlflow python
Last synced: 09 Nov 2024
https://github.com/kunalshelke90/image-classification-with-logistic-regression
Image Classification Problem with help of in library data set solved with deep learning
Last synced: 09 Nov 2024
https://github.com/kunalshelke90/air_pressure_system_failure_prediction
This is a machine learning project that aims to detect faults in the air pressure system of Scania trucks. The project uses the "Air pressure system failures in Scania trucks" dataset to train and test a model that can accurately identify faults in the system.
aws docker fastapi machine-learning mongodb python sklearn
Last synced: 09 Nov 2024
https://github.com/kunalshelke90/intel_image_classification
The solution involves using computer vision and a custom PyTorch-based object detection network to identify different types of apparel from images, with an API for predictions, dockerized and deployed on AWS.
docker flask python pytorch pytorch-cnn
Last synced: 09 Oct 2024
https://github.com/kunalshelke90/xray_image_classification
This project classifies chest X-ray images into Pneumonia and Normal using a CNN model. It includes deployment via Streamlit, enabling interactive web-based predictions and real-time analysis of X-ray images.
classification computer-vision data-augmentation deep-learning docker python streamlit
Last synced: 12 Oct 2024