FreeCourse Logo
FreeCourse.io
Verified CouponsFree CoursesJobsBlog
Categories
Home/Courses/Employee Attrition Prediction in Apache Spark (ML) Project
Employee Attrition Prediction in Apache Spark (ML) Project
Development100% OFF

Employee Attrition Prediction in Apache Spark (ML) Project

Udemy Instructor
3.6(4.1K students)
Self-paced
All Levels

About this course

Spark Machine Learning Project (Employee Attrition Prediction) for beginners using Databricks Notebook (Unofficial) (Community edition Server) In this Data science Machine Learning project, we will create Employee Attrition Prediction Project using Decision Tree Classification algorithm one of the predictive models. Explore Apache Spark and Machine Learning on the Databricks platform. Launching Spark ClusterCreate a Data PipelineProcess that data using a Machine Learning model (Spark ML Library)Hands-on learningReal time Use Case Publish the Project on Web to Impress your recruiter Graphical Representation of Data using Databricks notebook.

Transform structured data using SparkSQL and DataFramesEmployee Attrition Prediction a Real time Use Case on Apache SparkAbout Databricks: Databricks lets you start writing Spark ML code instantly so you can focus on your data problems.

Skills you'll gain

Data ScienceEnglish

Available Coupons

Loading...

Course Information

Level: All Levels

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Udemy Instructor

Expert course creator

This course includes:

  • 📹Video lectures
  • đź“„Downloadable resources
  • 📱Mobile & desktop access
  • 🎓Certificate of completion
  • ♾️Lifetime access
$0$94.99

Save $94.99 today!

Enroll Now - Free

Redirects to Udemy • Limited free enrollments

Share this course

https://freecourse.io/courses/employee-attrition-prediction-in-apache-spark-ml

You May Also Like

Explore more courses similar to this one

Mastering Generative AI & Machine Learning
Development
0% OFF

Mastering Generative AI & Machine Learning

Udemy Instructor

This course contains the use of artificial intelligence. Lectures are narrated by Katie, an AI voice, and AI tools helped produce the scripts, animations, quizzes and the promo video, where Vinay’s footage and voice are AI-generated from his own photos and recordings. The CodeSierra team curated the curriculum, and every notebook was run and tested.This course goes past the demo. You build something complete: a retention and support assistant for NimbusTel, a fictional telecom company. A support agent types a customer ID. The assistant looks up the customer, predicts their churn risk (how likely they are to leave) with a machine learning model, searches the company's policy documents and drafts a retention offer that quotes those policies and passes the company's offer rules. The agent reviews it, then approves and saves it.To get there, you learn both halves of modern AI and how to join them.Predictive AI. You start with Python from scratch, then explore and clean data with pandas, train and evaluate models with scikit-learn, and handle the problems that break real projects: data leakage, imbalanced classes and accuracy scores that hide a useless model. You build a churn model on a public dataset of 7,043 telecom customers.Deep learning and generative AI. You build neural networks in PyTorch, see how transformers and large language models work, and learn why they hallucinate. You write prompts that hold up, call models from Python through an API, and get reliable structured outputs.AI applications. You build retrieval-augmented generation (RAG) over documents, give a model tools to call, add guardrails against prompt injection, test your app with evaluation cases, and put a Gradio interface on it.Responsible AI. You measure bias in your own model, explain its predictions with SHAP, and learn which data should never leave your machine.The capstone ties it all together. You design, build, test and deploy the NimbusTel assistant to Hugging Face Spaces (or a free temporary public link), and finish with a portfolio project you can explain in an interview.How the course works. 18.6 hours of video across 10 modules. Short animated lectures explain each idea; hands-on lectures build notebooks cell by cell with real outputs. Every hands-on lecture ends with a practice exercise, and every module ends with a quiz. Everything runs in Google Colab in your browser. Modules 6–10 use the OpenAI API (a few US dollars of credit covers the whole course). Lecture 6.15 shows how to run chat calls on an open model; the search, image and capstone lectures use the OpenAI API.

0.0•8•Self-paced
FREE$84.99
Enroll
Long-Running AI Agents: Patterns for Agents That Run Hours
Development
0% OFF

Long-Running AI Agents: Patterns for Agents That Run Hours

Udemy Instructor

This course contains the use of artificial intelligence.Building an AI agent that works for five minutes is easy. Building one that works for five hours, unattended, is a different problem.Leave an agent running overnight and it breaks in predictable ways. Its context fills up and it starts mixing up customers. The server restarts at 2 AM and nobody knows whether that refund went through. It gets stuck in a loop and burns money until morning. It marks work as "done" when nothing was done. And sometimes it takes an action nobody can undo.This course teaches the design patterns that prevent each of these failures. They are the same patterns behind today's coding agents, background agents and durable workflow engines, explained clearly enough that you can apply them in any stack.One story, one night, one agentThe whole course follows Nightshift, an agent working the night shift at Pebblecart, a small online store with 600 support tickets left over from Black Friday. Nightshift has real tools: it looks up orders, reads the refund policy, emails customers and issues refunds.The first night goes badly. Section by section, you give Nightshift the patterns it needs, and in the last lesson it finishes a full night: tickets resolved, risky refunds waiting for approval, hard cases handed to humans, and a sensible bill.The 5 ways long-running agents break, and what you'll learn to fix themForgetting: compaction, clearing tool results, just-in-time retrieval, sub-agents, progress files, structured work lists, goal anchoring.Dying: checkpoints, event logs and replay, idempotent tools, workflow engines, suspend and resume with webhooks, work queues with leases.Getting stuck: retries with backoff, loop detection, token and money budgets, stop conditions, circuit breakers and fallback models.Lying: verification with facts instead of the agent's word, evaluator–optimizer reviewers, overnight reconciliation.Acting recklessly: approval gates, async human approval, escalation, and defending against prompt injection in customer emails.You'll also learn when multiple agents beat one, how to hand off work between agents, how to trace an 8-hour run, and how to cut the cost of a night's work.What makes this course differentPatterns, not a framework. Everything applies whether you use the Claude Agent SDK, LangGraph, Cloudflare Agents, Temporal, Inngest or your own loop. Each lesson ends with where the pattern already exists in popular platforms.Short, focused lessons. Every video is 3 to 6 minutes and teaches one pattern.Animated diagrams instead of slides. Every idea is drawn and animated step by step, so you can see the mechanism, not just hear about it.Pseudocode code cards. Each pattern ends with a short pseudocode card you can translate into any language. The harness grows lesson by lesson, with new lines highlighted.No setup, no repo to maintain. Watch on your phone, on the train, or between meetings.Also includedA scenario quiz at the end of every section, based on real incidents from Nightshift's nightsA final assignment: design the harness for your own agent on one pagePattern cards (PDF): one card per pattern with the problem, diagram, pseudocode and trade-offsPattern map (PDF): every pattern on one page, organized by failure modeOvernight checklist (PDF): what to check before you let an agent run unattendedBy the end of this course, you'll be able to look at any agent, predict how it will fail on a long run, and choose the patterns that keep it on track.Enroll now and give your agent a night shift it can survive.This course is independent and is not affiliated with or endorsed by any of the companies or products mentioned. Pebblecart and Nightshift are fictional names created for this course.

0.0•5•Self-paced
FREE$94.99
Enroll
Web Development Interview Questions
Development
0% OFF

Web Development Interview Questions

Udemy Instructor

Are you preparing for a Web Developer, Front-end Developer, Back-end Developer, or Full-stack Developer interview? Do you want to test your technical knowledge and strengthen your understanding of modern web development?The 350+ Web Development Interview Questions course is designed to help you assess your web development skills and prepare for technical interviews through structured practice exams and detailed explanations.Web development requires a strong understanding of front-end technologies, back-end programming, databases, system architecture, testing, debugging, and security. This course covers these essential areas through carefully designed assessment questions suitable for intermediate and advanced learners.With 6 practice exams featuring 350+ Web Development Interview Questions, you can evaluate your knowledge, identify areas for improvement, and strengthen your technical interview preparation.What Will You Learn?Throughout this course, you will practice and evaluate your knowledge of:Front-end Development: HTML, CSS, JavaScript, React, and Angular.Back-end Development: Node.js, Express.js, SQL, NoSQL, and MongoDB.Databases and Storage: Database normalization, indexing, transactions, and SQL vs. NoSQL.System Design and Architecture: System design fundamentals, microservices, RESTful APIs, caching, and CDNs.Testing and Debugging: Unit testing, integration testing, debugging techniques, and code optimization.Communication and Problem-Solving: Teamwork, communication, time management, and problem-solving skills.Security and Accessibility: Web security principles, accessibility, and cross-browser compatibility.Version Control and Collaboration: Git, GitHub, version control, and collaboration tools.Why Take This Course?1. 6 Comprehensive Practice ExamsPractice your web development knowledge through six structured assessments covering essential front-end, back-end, and full-stack development concepts.2. 350+ Interview QuestionsExplore a broad collection of technical questions designed around important web development topics and commonly relevant developer skills.3. Detailed ExplanationsUnderstand the reasoning behind correct answers with detailed explanations. Review incorrect options to strengthen your conceptual understanding.4. Identify Knowledge GapsEvaluate your current proficiency, discover topics that need improvement, and focus your preparation more effectively.5. Prepare for Technical InterviewsPractice questions related to real-world web development concepts and technical skills relevant to developer interview preparation.6. Intermediate to Advanced LevelChallenge your understanding of modern web technologies, development frameworks, databases, architecture, and software engineering practices.Who Should Take This Course?This course is suitable for:Aspiring web developers preparing for technical interviews.Front-end developers working with HTML, CSS, JavaScript, React, and Angular.Back-end developers interested in Node.js, Express.js, and database technologies.Full-stack developers looking to evaluate their technical knowledge.Software engineers preparing for web engineering positions.Computer science students strengthening their programming fundamentals.Professionals preparing for career advancement or technical assessments.Prepare, Practice, and Improve!Whether you are preparing for your first web development interview or looking to evaluate your existing technical skills, this course provides a structured way to practice important web development concepts.Take the 350+ Web Development Interview Questions assessment, review the detailed explanations, identify areas for improvement, and build a stronger foundation for your next technical challenge.Enroll today and start testing your Web Development knowledge!

0.0•2•Self-paced
FREE$89.99
Enroll
FreeCourse LogoFreeCourse

Freecourse.io brings you high-quality online courses with free certificates to help you upskill, boost your career, and achieve your goals anytime, anywhere.

Resources

  • Courses
  • Jobs
  • Categories
  • Features

Company

  • About
  • Blog
  • Contact

Legal

  • Privacy
  • Terms
  • Cookies
  • Licenses

© 2026 FreeCourse. All rights reserved.