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Data wrangling, Apache Spark for recommendation systems, Bitcoin prediction using regression, NLP for sentimental analysis and Deep Learning for defect detection from textured surfaces.

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machine-learning-for-business-applications

Algorithms for Data Guided Business Intelligence (ADBI)

Projects (source-code)

+ Preprocessing 
    - Data-wrangling 

+ Apache Spark and Kafka
    - Graph-embedding-recommender-systems-project
    - Network-properties-with-apache-spark
    - Recommendation-systems-using-apache-spark

+ Deep Learning
    - Dnn-architectures-for-defect-detection-using-keras-neural-networks

+ Predictions
    - Bitcoin-price-prediction
    - Stochastic-gradient-descend-for-logistic-regression
    
+ Graph Mining
    - Online-bipartite-graph-matching
    - Attributed-graph-compunity-detection 
    
+ Natural Language Processing        
    - Twitter-sentimental-analysis 
    - Word2vec-and-doc2vec-sentiment-analysis 

Database Management System (DBMS)

Final Project (source-code)

A publication house database management system using Java and MariaDB

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Data wrangling, Apache Spark for recommendation systems, Bitcoin prediction using regression, NLP for sentimental analysis and Deep Learning for defect detection from textured surfaces.

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