parasnaren Goto Github PK

4-sem-assignments

PSQE - Probability, Statistics and Queueing for Engineers

ai-traffic-light-control

air-hockey

Simple air hockey simulation with two movable pads and a continously moving ball.

android-lab

artificial-intelligence

Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks, Tools

attngan

automated-remote-proccessing-scanning-and-ocr-module

Developed a completely Remote and Automized Scanning and Storage system, that implements OCR to extract text from a scanned RC Card and stores the structured data into a Database.

category-and-name-entity-recognition

A program that performs named entity and category recognition on English sentences

cleaning-titanic-data

One of the most popular starter data sets in data science, the Titanic data set. This is a data set that records various attributes of passengers on the Titanic, including who survived and who didn’t. Here I have detected some missing value, replace the missing values and also create new values added to the dataset. There are two csv files, first one is titanic_original.csv and second one is tatanic_clean.csv. Second csv is generated from the R code, called 'titanic.r' here. Have fun.

data-science--cheat-sheet

Cheat Sheets

deep-learning-specialization-coursera

deep-rl-keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

detection-of-negation-in-text

A NLP Model that detects cues (words that cause negation) and scope (negated part of the sentence). The model employs NSlack SVM for binary classification of cues and Conditional Random Fields for scope detection.

digit-classifier-using-cnn

A handwritten digit classifier that classifies digits from the MNIST database using a Convolution Neural Network.

emergency-vehicle-detection

A image detection model that is used to differentiate between regular vehicles and emergency vehicles.

examples

TensorFlow examples

house-price-prediction

Part of Orient Bell Data Innovation Challenge, where a normalised RMSE leaderboard score of 99.968 was achieved.

image-rotation

Rotation of a grayscale image by 90° , 180° and 360°

image-synthesis-from-voice

Synthesis of images, primarily of birds from user vocal descriptions of images

inconsistency-detection-in-medical-annotations

Developed Phrase Embeddings of Medical data, using articles obtained from the PubMed FTP server. Medical terms that are semantically similar were clustered together, thereby helping to identify the inconsistencies

ipl-data-analytics

A data analytical approach to predict the best performing 11 players of IPL 2019, using player data from the past 10 seasons.

link-prediction-in-social-network

Given a snapshot of a social network, we infer which new interactions among its members are likely to occur in the near future?

mobile-price-range-predictor

Participated in the Phillips Datascience Hackathon that provided a dataset of mobile specifications with a target variable of price range to be predicted.

multimedia-csci576

ner-source-code

parasnaren.github.io

pharmaceutical-discount-prediction

Predicting discount to be provided by a pharmaceutical company to its customers using Mutli-class classification.

poindexter-poem-generation

A poem generation model, that generates poems modeled on the famous Christopher Poindexter's poems and quotes.

practicalai

📚 A practical approach to machine learning.

predict-drug-addiction-probability

A Random Forest Regression approach to predict whether the given individual with a past history of drug use will resort back to it.