namrata01 Goto Github PK

algorithms

amazon_lambda

This allows to automate services by uploading a zip file directly or from Amazon S3.

analyzing-imdb-data-in-keras

This is a demo to analyze a dataset from IMDB and use it to predict the sentiment analysis of a review using keras.

architecture

Sample

bag-of-popcorn

I have applied logistic regression and random forest to movie review to predict the sentiment.

boston-housing-prediction

Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.

chat-bot

This is a demo to easily implement chat bot on various platforms

cifar1-image-classification

This project is based on classification of images of the CIFAR-10 dataset. The images are preprocessed, normalized and labels are encoded and a convolutional neural network is trained on all the samples. The aim of the project is to correctly classify the images in their categories.

cloudera-manager-automation

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

computer-vision-project

This is a project done on computer vision

convolutional-neural-networks-in-tensorflow

dask

Parallel computing with task scheduling

debit-card-segmentation

This is the code to find segments using clustering in financial dataset.

dog-breed-classifier

The aim of this project is to build a pipeline that can be used within a web or mobile app to process real-world, user-supplied images using convolutional neural networks. Given a picture of dog, the model should be able to provide an estimate of the canine’s breed. The code should identify the resembling dog breed if pictures of human is provided.

dog-project

AIND Term 2 -- CNN Project

enron-email-analysis

finding-donors-for-charity

Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.

identifying-customer-segments

This is the code to apply unsupervised learning techniques on product spending data collected for customers of a wholesale distributor in Lisbon, Portugal.

image-classification-using-neural-network

This repository contains several Python codes for image classification using tensorflow.

image-recognition

This is a demo for image recognition in python

lambda-refarch-fileprocessing

Serverless Reference Architecture for Real-time File Processing

lambda-refarch-voteapp

lambda-refarch-webapp

Serverless Reference Architecture for creating a Web Application

learn-aws-lambda

:sparkles: Learn how to use AWS Lambda to easily create infinitely scalable web services

machine-learning

Content for Udacity's Machine Learning curriculum

mean-shift-lsh

mean-shift-lsh-1

Scala/Spark implementation of Distributed Nearest Neighbours Mean Shift using LSH

models

Models and examples built with TensorFlow

modern-nlp-in-python