Pinned Repositories
agri-quality-report
Augementation--Generasal-Adversial-Network
aws-data-analytics-and-machine-learning
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
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
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.
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
transfromer-vision
Johnbathappully's Repositories
Johnbathappully/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
Johnbathappully/agri-quality-report
Johnbathappully/Augementation--Generasal-Adversial-Network
Johnbathappully/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
Johnbathappully/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
Johnbathappully/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
Johnbathappully/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
Johnbathappully/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.
Johnbathappully/transfromer-vision
Johnbathappully/aws-data-analytics-and-machine-learning
Johnbathappully/Azure-MLops
Johnbathappully/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
Johnbathappully/depth-estimation
Johnbathappully/image-captioning
Johnbathappully/image-search-similarty
Johnbathappully/Mongo-DB
Johnbathappully/pyspark
Johnbathappully/search-engine-data-collection-main
Johnbathappully/search-engine-prediction-endpoint
Johnbathappully/search-engine-training-endpoint
Johnbathappully/segmentation
Johnbathappully/sensor--kaka-mongodb-prediction
Johnbathappully/sensor-data-collection-pipeline
Johnbathappully/ShelfLife-Foods
Johnbathappully/Topic-modelling-and-Real-Time-sentimentAnalysis-with-Amazon-Kinesis-and-Elasticsearch-Service.
Johnbathappully/YoutubeVideoAnalyticsSpark
YouTube Video Analytics using Spark, Azure and Kafka