johnbathappully Goto Github PK

agri-quality-report

augementation--generasal-adversial-network

aws-data-analytics-and-machine-learning

azure-mlops

control-volume-using-gesture

use Gesture Control to change the volume of a computer. application of hand tracking and then we will use the hand landmarks to find gestures of our hand to change the volume. This is module-based

depth-estimation

human-facial-analysis-system-computer-vision

Implemented face detection, face recognition, and face tracking . Classified emotion, gesture with transfer learning and fine-tuning. Accomplished segmentation of faces, face compression . Experimented with face style transfer, face hallucination(deep dream) and creation of new faces from Gan's

image-captioning

image-search-similarty

ml-machine-learning

This repository contains my works & iterations on various regression/classification/clustering algorthims .Problems of Time series, Ensemble_Learning, Recommender_Systems are also implemetend through ml based models

mongo-db

movie-recommendation-system

hybrid model by ensembling content-based and Collaborative based Filtering . Implemented stoplist ,eliminated outlier bot users and Decompstion by Singular Value Decomposition Applied RBM based model .scaled up with spark ALS and sage maker. calculated hit-rate, coverage, diversity, novelity and error

news-media-analysis-nlp

classification of journalist literature and news articles to topics.Latent semantic/sentiment analysis done after removing fake news. articles were ciphered, summarised, reworded,spinned .done ner,pos-tagging,topic modelling and gave back article recoomendation

nlp-natural-language-processing

It consists my personal works on different tasks like text preprocessing, feature engineering, Natural Language Understanding/Generation_ Techniques , speech recoginition techniques, exploring libraries on NLTK/ GenSim/SpaCy and finally experimentation with various ml/deep learning models.

pyspark

search-engine-data-collection-main

search-engine-prediction-endpoint

search-engine-training-endpoint

segmentation

sensor--kaka-mongodb-prediction

sensor-data-collection-pipeline

shelflife-foods

stock-sentiment-analysis-and-price-forecasting-time-series

performed sentiment analysis on real-time stock simulations. Modeled with methods namely ets, arima, varma, ML-DL iterations including multivariate and ensemble models .Also adopted aws forecast and garch for volatility modelling

topic-modelling-and-real-time-sentimentanalysis-with-amazon-kinesis-and-elasticsearch-service.

transfromer-vision

youtubevideoanalyticsspark

YouTube Video Analytics using Spark, Azure and Kafka