Free End-to-End Machine Learning Project Course
Applied Skills
2 modules
English
Lifetime access
"Unlock the secrets of creating powerful Machine Learning projects from start to finish in this hands-on, comprehensive course!"
Overview
In this free course, you will engage in a comprehensive case study that takes you through the entire machine learning project lifecycle. This hands-on approach ensures you gain practical experience by working on a real-world problem from start to finish.
Key Learning Objectives:
- Data Exploration & Preprocessing: Learn how to explore, clean, and prepare raw data for model training.
- Feature Engineering: Discover how to create and select the most impactful features to improve your model's performance.
- Model Selection & Training: Experiment with various machine learning algorithms to find the best fit for your data.
- Model Evaluation: Use industry-standard metrics to evaluate your model and refine it for better accuracy.
- Deployment: Deploy your model into a production environment, ensuring it can handle real-time data and deliver insights effectively.
Why This Case Study?
- Practical Application: Work on a realistic project that mirrors the challenges faced in the industry.
- Comprehensive Learning: This case study covers all stages of a machine learning project, giving you a well-rounded skill set.
- Hands-On Experience: By the end of the course, you'll have a fully functional machine learning model deployed and ready to use, showcasing your skills to potential employers.
Who Is This For?
- Aspiring machine learning engineers looking to gain practical experience.
- Data scientists aiming to strengthen their project portfolio.
- Professionals transitioning into machine learning and wanting a hands-on, project-based learning experience.
Key Highlights
Learn to plan, execute, and complete a full machine learning project from scratch
Understand the end-to-end process of machine learning project development
Acquire hands-on experience in data preprocessing, model building, and evaluation
Explore techniques for feature engineering and model optimization
Gain insights into deploying machine learning models in real-world scenarios
Receive guidance on best practices and common pitfalls in machine learning projects
Collaborate with peers and receive feedback to enhance your project outcomes
Create a portfolio-worthy machine learning project to showcase your skills
What you will learn
Understand the end-to-end process of a machine learning project
Learn how to plan, execute, and evaluate a complete machine learning project from start to finish.
Gain practical experience in data preprocessing and feature engineering
Acquire hands-on skills in cleaning, transforming, and selecting relevant features for machine learning models.
Master model selection, training, and evaluation techniques
Explore different algorithms, train models, and evaluate their performance using appropriate metrics.
Learn about deployment and monitoring of machine learning models
Discover methods for deploying models into production and monitoring their performance over time.
Modules
Projects [ML]
4 attachments
Mini Project : Loan Approval Prediction - End to End implementation - I
Loan-Approval-Code-1
Mini Project : Loan Approval Prediction - End to End implementation - II
Loan_approval_final - II
Interview Prep For ML/Analyst Role
2 attachments
Interview Prep Session - I
Interview Prep Session - II
About the creator
Applied Skills
Computer Engineer with a passion for Data Science, specializing in building tools from scratch. Over 10 years of experience teaching Applied Mathematics for IIT-JEE, GATE, and 5+ years in data science.
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