shashimanyam Goto Github PK

amazon-apparel-recommendation

building-a-simple-chatbot-in-python-using-nltk

Building a Simple Chatbot from Scratch in Python (using NLTK)

caf-terraform-landingzones

Cloud Adoption Framework for Azure - Terraform landing zones

cnn-on-cifar

cnn-on-mnist

convolutional-neural-network-on-mnist

course_aws_certified_machine_learning

databricks-data-scientist-learning-path

fundamentals of the databricks lakehouse platform

decision-tree-on-donorschoose-dataset

deep-cnn-cat-and-dog-predictor

Convolutional Neural Network used with Keras to predict Cats and Dog

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deepprivacy

DeepPrivacy: A Generative Adversarial Network for Face Anonymization

donors-choose-t-sne

DonorsChoose.org receives hundreds of thousands of project proposals each year for classroom projects in need of funding. Right now, a large number of volunteers is needed to manually screen each submission before it's approved to be posted on the DonorsChoose.org website. Next year, DonorsChoose.org expects to receive close to 500,000 project proposals. As a result, there are three main problems they need to solve: How to scale current manual processes and resources to screen 500,000 projects so that they can be posted as quickly and as efficiently as possible How to increase the consistency of project vetting across different volunteers to improve the experience for teachers How to focus volunteer time on the applications that need the most assistance The goal of the competition is to predict whether or not a DonorsChoose.org project proposal submitted by a teacher will be approved, using the text of project descriptions as well as additional metadata about the project, teacher, and school. DonorsChoose.org can then use this information to identify projects most likely to need further review before approval.

face-detection-in-python-using-opencv

Face Detection with Python using OpenCV

facebook-friend-recommendation

finding-missing-person-using-ai

gender-recognition-and-age-estimator

habermans-dataset

Haberman's survival dataset is to predict whether patient will survive for more than 5 years after undergoing operation or not.

hello-world

just another respository

heroku-demo

knn-on-donorschoose-dataset

loistic-rregression-on-donors-choose-dataset

mediapipe

MediaPipe is a cross-platform framework for building multimodal applied machine learning pipelines

mnist

music-genre-classification-with-python

naivebayes

BOW, TFIDF, MultinomialNB, GridSearchCV, AUC, Best features using log probabilities of Multinomial NB

netflix-movie-recommendation-system-collaborative-based-recommendation-

newyork-taxi-demand-prediction-master

nlp-deployment-heroku

personalizedcancerdiagnosis