iamharshverma
Passionate about building intelligent machines. AI, Machine Learning, Big Data Science, Data Driven Development
Palo Alto NetworksSan Francisco, CA
Pinned Repositories
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's Repositories
iamharshverma/dovetail
Mirror of the OPNFV Dovetail Project
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
iamharshverma/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
iamharshverma/Digit-Recognizer-Kaggle
In this competition, the goal is to correctly identify digits from a dataset of tens of thousands of handwritten images.
iamharshverma/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
iamharshverma/github-pages-with-jekyll
iamharshverma/TitanicSurvivalPredictionModel
iamharshverma/algs4
Algorithms, 4th edition textbook code and libraries
iamharshverma/Random_Walk
A random walk program in java which takes 4 files and then perform random walks on them considering edge type weights, edge weights, node type probabilities
iamharshverma/Deep-Learning-World
:satellite: Organized Resources for Deep Learning Researchers and Developers
iamharshverma/movielens
4 different recommendation engines for the MovieLens dataset
iamharshverma/tf-training-and-serving
Training and serving machine learning models in Tensorflow
iamharshverma/requests-for-research
A living collection of deep learning problems
iamharshverma/PanelCV
Panel CV for designers (or engineers) :)
iamharshverma/TensorFlow-Serving-Example
Example of how to use TensorFlow serving
iamharshverma/fastText_multilingual
Multilingual word vectors in 78 languages
iamharshverma/tensorflow-mnist
iamharshverma/bodgeit
The BodgeIt Store is a vulnerable web application which is currently aimed at people who are new to pen testing.
iamharshverma/MyBot
iamharshverma/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
iamharshverma/free-data-science-books
Free resources for learning data science
iamharshverma/Data-Science-45min-Intros
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
iamharshverma/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
iamharshverma/Java-MapReduce
This repository contains source code in java for finding Mutual Friends and analyzing Yelp DataSet using Hadoop MapReduce
iamharshverma/coursera
Data sets and scripts for Coursera Big Data Specialization.
iamharshverma/blog
Technical blog repo of metaflow
iamharshverma/tfserving-build
iamharshverma/evaluation
Some usefull additional ROC curve functions on top of sklearn.metrics
iamharshverma/lectures
Oxford Deep NLP 2017 course
iamharshverma/DataScienceResources
Open Source Data Science Resources.