jindalkanika Goto Github PK

anomalydetector

Samples for the Anomaly Detection API documentation:

checker-s-game-agent

Use MiniMax Algorithm to play 8 by 8 checker's board game. By Looking at the current board configuration and pieces locations both of opponents and self, the agent suggests the best possible move. The minimax algorithm works on finding the best move by predicting through a tree structure of min score (opponents move) and max score (self move) alternatively till the levels where agent is about to run out of game time. The minimum tree height it looks at is 2. It can work in two modes: "SINGLE" where it suggests a single next move looking at current board and "GAME" mode where it can lead you to win the game and suggests moves until the game ends for either of the player. This agent is built using no reinforcement or machine learning but pure Python code. It has been proved successful against 20 such agents built with different minds.

documentsegmentor

Document segmentation based on topics in it.

face-recognition

facerecognition

Face recognition and detection.

footfall

Shiny Dashboard application

glossbert

Based on GlossBERT (https://github.com/HSLCY/GlossBERT)

insights

interstellar

Prediction application for cryptocurrency rate

jazz-music-generation-using-rnn

jindalkanika

Config files for my GitHub profile.

jindalkanika.github.io

minds_kanika_jindal

MINDS project submission by Kanika Jindal

plagiarismdetector

Plagiarism detector for Udacity Machine Learning Nanodegree coursework.

rnn

search-algorithms-implementation

A*, BFS and UCS implementation in Python.

sentiment_analysis

Sentiment analysis using AWS SageMaker, Amazon Lambda, Amazon S3, Amazon API Gateway.

shakespeare-sonnet-using-lstm-and-basic-rnn

spam_classifier_ai_dev_oncampus

Kanika jindal's submission for UCI Spam email dataset classification task for on campus AI developer opportunity.

tfjs-image-classifier

Image classification on browser using TensorFlow.js.