Shahriar Rahman's Projects
Juxtaposing different Recommender Algorithms by utilizing the concept of Collaborative Filtering to analyze the Amazon Book Ratings.
A graph-based territorial war game against a sophisticated AI, Klara.
Algorithms And Data Structure Implemented In Python, Java & CPP.
Web scraping amazon products based on user search using Selenium Webdriver.
A Selenium Web Scraping project for extracting the best daily deals in Amazon site.
Deep data introspection for the National Solar Radiation Database
Based on a Hybrid CNN-LSTM Network, an automated predicitve algorithm is constructed.
Discography scraping using an amalgamation of bs4 and Selenium.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
A Python implementation of global optimization with gaussian processes.
A Knowledge base for solving various queries derived from an AI-based Decision Tree.
A classic AI problem based on facts and information of the search tree.
A collection of public resources about how software companies test their software
A java application for windows 7 for management of contacts and schedules of any students.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A parallel and distributed computing library that scales the existing Python and PyData ecosystem.
Scalable Machine Learning with Dask
This is a fundamental concept of data structures graph ad its representation.
All the necessary details about Deep Learning - A kick-starter
🤖 Fork me to try out Dependabot
Diabetes prediction web application
An exploratory data analysis on a book review data with additional meta data.
An in-depth exploration of Amazon data which was scraped using the Selenium Webdriver
A Deep Introspection on the characteristic properties of Concrete using a Civil Engineering Dataset.
An exploratory data analysis on a smart home system data with weather information.
A Library for Ensemble Learning Using Support Vector Machines
Data wrangling and Feature analysis based on the Netflix userbase sample Dataset.
Python3 project applying Gaussian process regression for forecasting stock trends
Global Horizontal Irradiance Analysis using Support Vector Regression and Bayesian Ridge Regression
Integrating Long-Short Term Memory to predict the Google Stock Market Price