Course Overview
- Course Title: Employee Attrition Prediction in Apache Spark (ML) Project
- Instructor: Bhavesh Bhadricha
- Target Audience:
- Data Scientists & Analysts
- HR Professionals & Leaders
- Big Data Professionals
- Prerequisites:
- Apache Spark basic
- Scala fundamental knowledge
- SQL Basics
- Machine Learning basics
Curriculum Highlights
- Key Topics Covered:
- Launching Apache Spark Cluster
- Processing data using a Machine Learning model (Spark ML Library)
- Hands-on learning
- Real-time Use Case
- Creating a Data Pipeline
- Publishing the Project on Web
- Workforce Data Analysis
- Feature Engineering for HR
- Machine Learning Pipelines
- Model Optimization & Evaluation
- Data-Driven Insights
- Key Skills Learned:
- Exploring Apache Spark and Machine Learning on the Databricks platform
- Building scalable predictive models using Spark MLlib
- Fine-tuning machine learning models
- Translating model predictions into actionable strategies
- Graphical Representation of Data using Databricks notebook
- Transforming structured data using SparkSQL and DataFrames
Course Format
- Duration: 2.5 hours on-demand video
- Format: Self-paced online course
- Resources:
- 2 articles
- 2 downloadable resources
- Access on mobile and TV
- Certificate of completion