confusion matrix , k fold class, regression ,classification report, precision recall , f1 score, support

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Data visualization tool to learn for data science- apache airflow,  Pentaho, QlikView, Tableau, data reporting 

  • 4+ years experience as a Data Engineer in companies with strong data culture
  • 4+ years of professional, hands-on experience with Python development
  • 4+ years of professional experience with relational databases (Postgres preferred)
  • Setup and maintenance of DWH, especially data lakes and analytics within AWS, GCP, Snowflake
  • Experience with RESTful API oriented design and modular service-oriented architecture
  • Significant experience using AWS Cloud services and architectures, including S3, EC2, VPCs, ECS, RDS, DMS
  • Experience measuring data ingestion quality
  • Experience running infrastructure as code (e.g. Terraform, Ansible, CloudFormation)
  • Orchestration tools - Airflow or Luigi
  • Fluency in using Git
  • Experience working in an Agile environment
  • Experience with Snowflake
  • Experience with monitoring and logging tools (like Prometheus, and Grafana)
  • Experience with NoSQL



confusion matrix , k fold class, regression ,classification report, precision recall , f1 score, support


gradient descent for linear regression


regression how relate machine learning and supervised learning


over fitting under fitting naive bays theorem

cart theorem


https://statisticsbyjim.com/regression/when-use-regression-analysis/



decisiontree algorithm types id3 , cart, c4.5 , c5.0


conditional probablity

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