SohamBera16

Diabetic-Retinopathy-Grade-Detection-using-CNNs-and-Transfer-Learning-techniques

Automatic classification of different severity grade [non-existent(0) to most severe(4)] of the Diabetic Retinopathy disease using deep learning

foodetecto-An-AI-based-Food-category-detection-app-using-Streamlit-and-Heroku-Cloud

Web app using Streamlit with a deep learning based back-end for food item name prediction from images and deploying the model in Heroku cloud.

Time-series-analysis-and-forecasting-using-tunnel-traffic-data

Finding out various components like trends and seasonality in the time series describing tunnel traffic.

Cat_Dog_image_classifier

A Cat and Dog image classifier using the pre-trained MobileNet V2 CNN Model of Google and Fine Tuning techniques

CharityML-Potential-Donor-classfication-based-on-income-data

Using three supervised learning models for predicting whether a person is a potential donor for a charity organization and performing feature importance analysis to determine the most important features that impacts someone's probability of being a donor.

Cpp_Projects_in_Visual_Studio

Various conceptual mini projects using C++ and Visual Studio

fashion-product-classification-using-MNIST-dataset

Classification of the chosen fashion product into one of the 10 fashion item categories using a neural network

Retail-Store-Sales-Time-Series-Forecasting

Titanic-ship-passenger-survival-prediction

Building a logistic regression model for predicting passenger survival using the Titanic dataset

bayesian-neural-network-based-prediction-using-Environmental-data

Learning the fundamentals of Bayesian Neural Networks (BNN) by doing.

Customer-Segmentation-using-Clustering-and-PCA-techniques

Image-Classification-using-Deep-Learning-for-a-city-dog-show

creating multiple deep learning based image classifiers to identify dog breeds and comparing their performances to select the best model.

ML-based-automated-disaster-message-classification-and-response-generation-pipeline

ETL and machine learning pipeline generation to categorize a data set containing real messages during disaster events for automatically sending to an appropriate disaster relief agency

ML-Zoomcamp

Homework and project submissions for the Machine Learning zoomcamp.

Multiple-Object-detection-and-classification-for-a-Self-Driving-Car-in-an-urban-environment-

convolutional neural network based detection and classification of objects using data from Waymo dataset

SohamBera16

README file for my profile

Image-Classification-with-CIFAR-10-dataset

creating pipelines along with a Neural Network model for object detection in the CIFAR-10 dataset and comparing the model performance with a baseline