Name: Sushant Kumar
Type: User
Company: Universität Bremen
Bio: Researcher | Engineer | Programmer | Reader | Interested in learning AI, Edge Computing | ASICs, FPGA enthusiast |
Location: Bremen, Germany
Sushant Kumar's Projects
Breast Cancer detection using Support Vector Machine with accuracy 96%
Cat Dog Classifier with CNN using Keras
Development of a Model to convert Celsius to Fahrenheit using ANN in google colab
Classification-models-for-Social-Network-AdvertisementA sample description in here
Classification of MNIST dataset of Handwritten digits using DNN with Pytorch
MNIST like datatset for Kannada handwritten digits
Classification of Restaurant Reviews using NLP
Sushant Kumar's Curriculum Vitae 2021
Customer Churn Modelling using ANN with Keras
Deep Autoencoders for movie recommendations using Pytorch
Diabetes Classification with Artificial Neural Network
Directing Customer to Subscription through App behavior analysis
This is a master project for Control, Microsystems and Microelectronics Program at Uni Bremen. The project aims to classify EEG data in an embedded system by using artificial neural network, more specifically Multilayer Perceptron Model.
EEG signals feature extraction and classification using transfer learning
This project will help to predict the House Price by taking different parameters into consideration using Artificial Neural Network (Regression method) in Google Colab using dataset "kc_house_data.csv".
Kernel Principal Component Analysis for social network advertisement
LeNet-Convolutional Neural Network for CIFAR-10 Classification Dataset
Linear Discriminant Analysis using machine learning
Linear regression using ANN with Pytorch
Minimizing churn of subscription product through analysis of financial habits
NewYorkCity-Taxi-Fares-prediction-using-Neural-Network-with-Pytorch
Predicting Bike Rental Usage (Regression), using Artificial Neural Network
Predicting-Google-stock-price-using-RNN-LSTM
Mini Artificial Neural Network to predict sales revenue with Tensorflow 2.0 + Python with Google Colab
Principal Component Analysis using Machine Learning