iamharshverma
Passionate about building intelligent machines. AI, Machine Learning, Big Data Science, Data Driven Development
Palo Alto NetworksSan Francisco, CA
iamharshverma's Stars
iamharshverma/JavaHashTableCustomImplementation
Implementing HashTable in Java Using Custom Data Structure and Vector to store List
iamharshverma/TokanizeAndStemming
Implementing Stemming and Tokenization to retrieve the relevant Information from the corpus
iamharshverma/BigData-Hadoop_SocialNetwork
Using hadoop/mapreduce to analyze social network data
iamharshverma/CertificatesAccomplishment
Certificates & Accomplishment
iamharshverma/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.
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
iamharshverma/NLP-Automatic-Speech-Recognization
An automatic speech recognition system has provided two written sentences as possible interpretations to a speech input
iamharshverma/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
iamharshverma/Dan-Jurafsky--Chris-Manning--Natural-Language-Processing
My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012
udacity/reinforcement-learning
Reinforcement learning material, code and exercises for Udacity Nanodegree programs.
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
iamharshverma/journaldev
JournalDev Projects