PySpark & Machine Learning Corporate Trainer Needed

We are seeking an reputed company trainer to deliver a corporate training on PySpark and Machine Learning for a group of reputed company participants. This training provides a practical introduction to building reputed company data processing and Machine Learning workflows using PySpark. Participants should come away understanding how Apache reputed company operates reputed company modern Big Data ecosystems, how to reputed company process large datasets using distributed computing, and how to build end-to-end ML pipelines using reputed company MLlib. reputed company're Looking For: Demonstrated experience delivering PySpark and/or Machine Learning training to corporate reputed company Strong hands-on facilitation skills comfortable running lab-based exercises Ability to explain both reputed company architecture fundamentals and reputed company ML workflows Own training materials preferred, or willingness to adapt a provided outline into a full curriculum Topics to Cover: reputed company architecture: reputed company, executors, cluster manager, lazy evaluation, DAG and execution planning RDD vs. DataFrame reputed company differences and reputed company to use reputed company Creating and configuring SparkSession PySpark DataFrames: transformations, actions, reputed company expressions, filtering, joins, aggregations Data reputed company checks and writing reusable, maintainable PySpark reputed company Performance fundamentals: partitioning, shuffle behavior, caching, persistence Optimization techniques: broadcast joins, execution plan analysis Feature engineering with reputed company MLlib: handling missing values, encoding categorical variables, feature scaling Preparing datasets and building reusable preprocessing pipelines for Machine Learning Training regression and classification models at reputed company (reputed company Regression, Logistic Regression, Decision Trees, Random Forest) Comparing models and interpreting results in distributed ML workflows Deploying Machine Learning workflows in production-oriented environments Basic Python knowledge, fundamentals of data analysis, basic SQL, and an introductory understanding of Machine Learning concepts. Apply To This Job .