ESHA MISHRA's repositories
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Malware-Detection-Using-Supervised-ML-Projects
Malware Dectection Using Supervised ML
Operationalizing-an-AWS-ML-Project
Operationalizing an AWS ML Project
ANN-and-CNN-on-mnist-data
ANN-and-CNN-on-mnist-data
ANN-on-Iris-Data
ANN implementaion using tendorflow on iris dataset
AWS-ML-Engineering-Program-Scholarship
Projects done during udacity nanondegree. AWS ML Engineering Program Scholarship.
breast-cancer-classification-using-ANN
breast cancer classification using ANN (tensorflow)
CD0387-deep-learning-topics-within-computer-vision-nlp-project-starter
newly created cd0387 from nd009t-c3repo
CNN-on-CIFAR10-dataset
cnn implemenation using tensorflow on cifar10 dataset.
Converting-Photos-to-Monet-Style-Paintings-Using-GANs
Converting photos to Monet Style Paintings Using GANs
Image-Preprocessing-Using-OpenCV-and-PIL
Image Preprocessing Using OpenCV and PIL
image-processing-application-using-opencv-flask-and-fluttlerflow
An application that perform various kind image processing. The back end is written in python and front end is made using flutter flow (an dag and drop flutter builder. Have used flask API to connect both.
Mall-Customer-Segmentaion
mall cusomer segmenation using usupervised ML (dbscan, k-cmean, fcmean)
udacity-nd009t-C2-Developing-ML-Workflow
Udacity AWS ML Workflow Exercise
Women-s-E-commerce-Clothing-Reviews-Classification
We have analyzed and sorted women's e-commerce clothing reviews into positive and not positive sentiments. We're using various machine learning models like Logistic Regression, Recurrent Neural Network (RNN), Decision tree, and Random Forest to find the most accurate sentiment classification model for our women’s clothing reviews.