iamharshverma

APIMicroServiceForWordDocFrequencyCount

Service that displays how many times an alphabetic word shows up in a file or across files. The program will be seeded with an input file where each line is another file’s absolute path. Each file in the absolute path will contain the words that need to tracked. I should be able to run the program and list all the words and their respective counts. The program will need to quickly handle 1000’s lines in the input file and display results in a timely manner. Python is the recommended language but you can use another popular programming language if desired. Requirements for the program: o The program must have a CLI or WebUI or API o The program/executable has to be standalone. o You must provide a set of easy to follow instructions on how to run and execute the program. Assume the system used for running the program has just a base OS installed o You must submit · all of the source code and the corresponding executable. If you zip all of the contents that will be acceptable or share it via the cloud. · unit tests for your application and how to run the tests. · Input data used to test your program Moreover User should be able to select a word (from the list of words) and display which files the word came from, display how many times the word showed up in each file and display how many times the word showed up in total

BigData-Hadoop_SocialNetwork

Using hadoop/mapreduce to analyze social network data

BigData-Yelp-Business-Data-and-Social-Network-Analysis

Big data Management Analytics and Management : Scala Project for Analysis of Yelp Business Data and Mutual Social Network Data to get prominent business insights

CertificatesAccomplishment

Certificates & Accomplishment

ContactSetupDirectlyInDevice

This Repo helps to setup contacs Directly in phone from properties file

CricketSearchEngine

Cricket Search Engine

NLP-Automatic-Speech-Recognization

An automatic speech recognition system has provided two written sentences as possible interpretations to a speech input

NLP-BiLSTM_SentimentAnalysis

Deep Learning structure, consisting of a word embedding layer, a LSTM layer and a classification layer, to perform sentiment classification on movie review domain.

PySpark-LargeScaleDataCollection_Preprocessing_Cross_language_Articles_Duplication_Detection

PySparkStreaming-MultiNewsClassification

The Program trains a pyspark MLLib Pipeline model with Tokenizer, stop word remover, Labialize, TF-IDF, vectorizer and two classifiers i.e. Logistic Regression and Naïve Bayes. Then it compares result of both classifier(Logistic and Naïve Bayes) on spark streaming data for multiple news type classification.

iamharshverma/face_recognition

The world's simplest facial recognition api for Python and the command line

iamharshverma/awesome-community-detection

A curated list of community detection research papers with implementations.

iamharshverma/bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

iamharshverma/curaeaidlhw-codelab1-skin-cancer-mnist

Materials for Curae.ai's Code Lab 1: Skin Cancer MNIST

iamharshverma/curaeaidlhw-codelab2-pcam-histo-cancer

Materials for Curae.ai's Code Lab 2: PatchCamelyon (PCAM) Histopathological Cancer Detection

iamharshverma/curaeaidlhw-codelab3-chestxray8

Materials for Curae.ai's Code Lab 3: ChestX-ray8 - National Institutes of Health Chest X-Ray Dataset

iamharshverma/CVND_Exercises

Exercise notebooks for CVND.

iamharshverma/CVND_Localization_Exercises

Notebooks for learning about object motion and localization methods in the last section of CVND.

iamharshverma/Deep-Learning-for-Tracking-and-Detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

iamharshverma/deep-learning-v2-pytorch

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

iamharshverma/deepdig

Improving Intrusion Detectors by Crook-sourcing

iamharshverma/DeepLearningFlappyBird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

iamharshverma/DenisonEnterprises.github.io

Denison Enterprises, founded in 2014, is an experimental business learning opportunity serving as a think-tank, consultation group, and small business incubator. Denison Enterprises seeks to bring self-sustaining student run business ventures to campus that provide experimental business learning opportunities to undergraduates.

iamharshverma/faceanalysis

Pipeline for face detection and matching

iamharshverma/Graph_Powered_ML_Workshop

Material and Notebooks for ODSC 2020 workshop.

iamharshverma/insightface

Face Analysis Project on MXNet

iamharshverma/machine-learning-for-trading

Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading

iamharshverma/my_resume

resume

iamharshverma/nd320-c3-3d-med-imaging

iamharshverma/nd320-c4-wearable-data-starter

iamharshverma/Network-Analysis-Made-Simple

For PyCon, PyData, ODSC, and beyond!

iamharshverma/normalizer_code_coverage

iamharshverma/odsc-2020-statistics

Repo for the "Statistics for Data Science" workshop at ODSC 2020 in Boston

iamharshverma/rakshak-ai

Rakshak-AI is a Network Cybersecurity Agent that helps you define better and secure network rules.

iamharshverma/rec-workshop

Getting started

iamharshverma/SimilaritySearchAnnoy

iamharshverma/Social-Distancing-Analyser-COVID-19

A social distancing analyzer AI tool to regulate social distancing protocol using video surveillance of CCTV cameras and drones. Social Distancing Analyser to prevent COVID19

iamharshverma/The-Engineering-Manager-Pandect

A comprehensive reference for all topics related to becoming a great Engineering Manager

iamharshverma/the-engineering-managers-booklist

Books for people who are or aspire to manage/lead team(s) of software engineers

iamharshverma/VAEs-in-Economics