CDAP plugins for training a model using decision tree and for predicting outcomes based on the trained model.
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Updated
Apr 11, 2019 - Java
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
CDAP plugins for training a model using decision tree and for predicting outcomes based on the trained model.
ML Recommendation System Skeleton / Product Comparison Service (Java 11 / MongoDB / Spring)
From people for people, iot plataform to connect android devices and learn from their taste. Machine learning and recomendation engine to create shared playlist for the users in the same area.
Implementation done in Java. Keystroke dynamics is a biometric authentication method that analyzes the unique typing patterns of individuals to verify their identity. By capturing timing information between keystrokes, such as key press duration and intervals, keystroke dynamics can create a unique profile for each user.
SAP Extensibility Explorer example: Training SAP Leonardo ML Functional Text Classification Service
🛡️📃PhoenixDOMString 🚀🔏📃SAMkenXEcosystem This repository holds the content submitted to https://cloud.google.com/community. Files added to the tutorials/ directory will appear at https://cloud.google.com/community/tutorials.
My experiment image classification with SVM algorithm in Apache Ignite ML.
My 2nd sem uni project with Ahsan and Umar as team members
Default Camera Object Detection System provided by team Tensorflow.
SkipGram Feature Generator: Generates text-based features using Spark's Word2Vec.
A Demo Project that is a practice on Data Analysis and Machine Learning Concepts applied with Java Programming Language.
STT app using Android Studio and Azure services