showman-sharma Goto Github PK

alc_tableau

Implementing ALC Tableau. For an ALC KB and a query given in Negation Normal Form pre-generated, using ALC Tableau to determine whether the query is entailed by the KB.

android-based-gnss-measurements

Android-based GNSS Measurements

bike_sharing-lin-reg-model

We want to understand the factors affecting the demand for shared bikes in the American market, based on various meteorological surveys and people's styles. We shall achieve this by building a Linear Regression model.

bio-inspired-clustering

A novel clustering algorithm inspired from biological systems and derived from a similarity search algorithm developed by D.Krotov and J.Hopfield

cartoonize

Upload an image or click a photo and get yourself a cartoon image

cats-and-dogs-game

The game has two players (you and an adversary). The adversary has a four letter word in mind which she picks from the list given here. The adversary is allowed to pick only words without repeating alphabets. For instance the adversary cannot pick ’LOSS’. You know this list and your goal is to guess the specific word the adversary has chosen. The game proceeds in rounds and in every round you are allowed to guess a four letter word from the list which also does not have any repeating alphabets. The adversary then gives you feedback in the form of two ordered numbers: a number C indicating the number of Cats in your guess and a number D indicating the number of Dogs in your guess. A Cat is an alphabet which is common to both your guess and the adversary’s chosen word but is not in the same position. A Dog is an alphabet which is common to both your guess and the adversary’s chosen word and also is in the same position. For example if the adversary’s word is ’COLD’ and your guess is ’LAST’, the adversary would say ’1C 0D’ indicating that there is one Cat in your guess (namely the alphabet ’L’ which has moved to a different position ) and no dogs. If your guess had been ’CLAD’, the adversary would say ’1C 2D’ indicating that there is 1 Cat (namely ’L’) and 2 Dogs (namely ’C’ and ’D’) in your guess. Note that the adversary does not tell you which alphabets are Cats and which are dogs but just gives you 2 numbers indicating the number of Cats and Dogs.

courseapp

Basic CRUD operations on Oracle DB using JPA/Spring Boot/Gradle

customer-support-automation

dl4j-chatbot

Simple chatbot created purely using java

dl4j-iris-classifier

Deep learning using pure java.

ez-doc.ai

EZ-DOC.AI is a document generation tool that utilizes the Cohere API to generate documents based on user prompts. It provides a convenient way to quickly generate documents by inputting a prompt, which is then processed by the Cohere API to generate a response text.

gesture_recognition

The problem at hand involves developing a feature for smart televisions that can recognize and interpret different gestures performed by users. These gestures are monitored by the TV's built-in webcam and correspond to specific commands.

handyman-chatbot

Chatbot for handyman products

housing-price-analysis

We are required to build a regression model using regularisation in order to predict the actual value of the prospective properties and decide whether to invest in them or not. The company wants to know: 1. Which variables are significant in predicting the price of a house, and 2. How well those variables describe the price of a house.

informationretreival

For any given query, an Information Retrieval (IR) system is used to obtain and rank relevant word documents from the data collection of interest. The most basic IR system uses Term Frequency Inverse Document Frequency (TF-IDF) to represent documents and queries as vectors, and then uses measures like cosine similarity to assess the relevance of a query to all the documents in the dataset.

java-handyman-chatbot

Runs python code for chatbot in java using ProcessBuilder

learn_github

Learn Github

lendingclubcasestudy

melanoma_detection_cnn

We build a CNN based model which can accurately detect melanoma. Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis.

news-recommender

Building a personalized news recommendation system for iPrint media house, leveraging collaborative filtering, content-based filtering, ALS, and hybrid models. Enhancing user engagement and content discoverability. #RecommendationSystem #DataScience

numpy

The fundamental package for scientific computing with Python.

object-counter

Given an image, the program tries to count the total number of objects with colors Red, Green and Blue

personal-loan-data-prediction

Predicting if a customer will take a personal loan or not, from customer behavior information such as age, income, credit card usage, etc.

portfolio

Here is my ML Portfolio

project-b-eagle

We propose a leak source search system mounted on small sized drones or rovers that will accurately reach the source of the gas leak or fire. Subsequently, the drone/rover might act as a beacon locating the source exactly or could manage the hazard if relevantly equipped. Here, we try: ● To create a Gas Leak Source Search System. ● To equip a drone with this system and make it reach the source. ● This drone would act like a beacon, informing the user about the exact location of the source.

pulseoximeter

Creating a smartphone based pulse oximeter

red-light-green-light

A version of the iconic game as seen in the Netflix series: Squid Game, created using Open CV

regression-classification

semi-bandits

We show performance of various algorithms in semi-bandit setting and try to solve a real word problem using the same

simple-portfolio

Just a simple portfolio page made using html, css, js