Overview / Usage

My project is about predicting servers failures or applications bugs from Operational & Security standpoints by applying ML & AI to predict picks loads or downtime in CPU/Network/Infrastructure/Code ....
Constructing a times series baseed on generated logs, is a baseline for cleansing data and make transformations on it.
After this, build a model than can reduce the cost of error from prediction and estalish an iteration process for features engineering.
Algorithms: KMeans/PCA/Random Forest/ Neural Nets/Collaborative Filtering
OS: Linux/Windows
Languages: Python/Scala/Javascript
Technologies Used: Hadoop/Elasticsearch/h2o/Spark/Node.js

Collaborators