Pinned Repositories
Aman-Hello-Git-Repository
Trial Repo
azure-functions
BazaarDroid
We aim to provide a framework of interactive user application in Android with its real time implementation in demo version of an virtual BigBazaar . The project does so by using Google’s C2DM service (Cloud to Device Messaging it is available in Android 2.2 & above), Application server (Authenticated by Google server with unique Auth ID) maintained by the shopping mall manager and application installed on device. The application registers itself to get updates from application server at C2DM server. Using our application, the user can browse floor plans, run various searches, get live updates from retailers, rate the product, get offers and other important data. The beauty to the application is added by using data mining to show user the events or products that user would like to checkout. Currently, few applications have been made in this context like ShopDroid, Shop Savvy, etc. When the application is installed Service starts in the device which receives the pushed notifications from application server. The application uses pushing concept for sending the notification hence battery life and the performance of the device is not affected (or degraded).On receiving notification the device can send request for the new data from application server. In our implemented design, the entire database comes with application (SQLite) and runtime information, the registration ID (that is generated by C2DM server) of application are stored on application server. The design addresses the problems in mall management of communicating updates and to the target audience, provide very interactive and easy to use application.
Data-Visualizations
This contains examples that I created for my data visualization course.
Document-Classification
Document classification test from HeavyWater
easy_data_explorer
Python library to do common data exploring tasks
Machine-Learning-Click-Through-Rate-Project
For this project, we were tasked with predicting whether a customer would click on a given ad. Looking at the original data, we had 32 million instances consisting of 24 anonimized variables designating various categories.
RoboticPerceptionSystem
Social-Network-Analytics
Social Network Analytics Course
templates
Store templates to various project types and files
amanj131989's Repositories
amanj131989/azure-functions
amanj131989/Document-Classification
Document classification test from HeavyWater
amanj131989/templates
Store templates to various project types and files
amanj131989/amandeepfj
Config files for my GitHub profile.
amanj131989/Data-Visualizations
This contains examples that I created for my data visualization course.
amanj131989/easy_data_explorer
Python library to do common data exploring tasks
amanj131989/Machine-Learning-Click-Through-Rate-Project
For this project, we were tasked with predicting whether a customer would click on a given ad. Looking at the original data, we had 32 million instances consisting of 24 anonimized variables designating various categories.
amanj131989/RoboticPerceptionSystem
amanj131989/Social-Network-Analytics
Social Network Analytics Course
amanj131989/bootstrap-treeview
Tree View for Twitter Bootstrap -
amanj131989/cognitive-services-speech-sdk
Sample code for the Microsoft Cognitive Services Speech SDK
amanj131989/CoronaOutbreakAnalysis
amanj131989/data_project_structure
We will learn about how to structure the data projects, for productionizing your Data Science & ML work. This is Part 1
amanj131989/DeepLearning.AI
amanj131989/Hands-On-Machine-Learning-for-Algorithmic-Trading
Notebooks, resources and references accompanying the book Machine Learning for Algorithmic Trading
amanj131989/Machine-Learning-and-Data-Science-in-Politics
Implementations of Machine Learning and Data Science Methods in Politics.
amanj131989/machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
amanj131989/MachineLearningProject
Machine Learning Problem from Pluralsight.
amanj131989/ManagingBigData
For this project we used AWS eco-system to manage the Amazon reviews data(~50 GB) and do sentiment analysis on the reviews.
amanj131989/MarketingAnalytics
amanj131989/NASDAQ_PITCH_DATA_PARSER
amanj131989/notebooks
amanj131989/opencv
Open Source Computer Vision Library
amanj131989/PRMIA-Risk-Management-Case
amanj131989/python-selenium
amanj131989/RawData
Raw data for direct reference
amanj131989/springerQuarantineBooksR
Download all books made available by Springer during the COVID-19 quarantine!
amanj131989/study
amanj131989/Topic-Modeling
In this project we will do topic modeling on reviews from Amazon.
amanj131989/useful-links-and-books
This repository contains links and books.