Learn Model Evaluation & Tuning Online: Free Course with AI Tutor & Certificate
This 1-hour hyperparameter tuning course features 37 video lessons that teach you how to optimize machine learning models. You'll start by understanding the importance of model evaluation, then explore cross-validation techniques and metrics for regression and classification to build highly accurate algorithms.
Model Evaluation & Tuning course syllabus
01 Introduction to Model Evaluation
- Importance of Model Evaluation
- Common Evaluation Metrics
- Overfitting and Underfitting
- Train-Test Split
02 Cross-Validation Techniques
- Understanding Cross-Validation
- K-Fold Cross-Validation
- Leave-One-Out Cross-Validation
- Stratified Cross-Validation
- Cross-Validation in Practice
03 Evaluation Metrics for Regression
- Mean Absolute Error (MAE)
- Mean Squared Error (MSE)
- Root Mean Squared Error (RMSE)
- R-squared and Adjusted R-squared
- Comparing Regression Models
04 Evaluation Metrics for Classification
- Confusion Matrix
- Accuracy, Precision, and Recall
- F1 Score
- ROC Curve and AUC
- Precision-Recall Curve
05 Model Selection Strategies
- Criteria for Model Selection
- Bias-Variance Tradeoff
- Model Complexity and Generalization
- Comparing Multiple Models
- Practical Considerations in Model Selection
06 Introduction to Hyperparameter Tuning
- What are Hyperparameters?
- Grid Search Method
- Random Search Method
- Bayesian Optimization
- Practical Tips for Hyperparameter Tuning
07 Advanced Hyperparameter Tuning Techniques
- Automated Machine Learning (AutoML)
- Hyperparameter Tuning with Cross-Validation
- Early Stopping in Hyperparameter Tuning
- Hyperparameter Tuning in Practice
08 Tools and Libraries for Model Evaluation and Tuning
- Scikit-learn for Model Evaluation
- Using TensorFlow and Keras
- Hyperparameter Tuning with Optuna
- Practical Examples with Python Libraries
Skills you'll gain
Add these to your LinkedIn profile and resume the day you finish.
Who should take this Model Evaluation & Tuning course?
And exactly what you need before starting (spoiler: almost nothing).
This course is for
- Data science students looking to improve the accuracy of their predictive models.
- Working professionals who want to master advanced hyperparameter tuning techniques.
- Software engineers transitioning into machine learning roles in the Indian tech market.
- Self-taught developers needing a structured way to learn cross-validation.
Prerequisites
- A basic understanding of machine learning algorithms is recommended.
- Familiarity with Python programming and data manipulation.
- Prior exposure to basic regression or classification concepts.
How learning works on LearnTube
The structure of a bootcamp, the price of free.
AI curates your path
Our AI picks the top 1% of video content for each topic and arranges it into a structured, goal-based curriculum. No more tutorial roulette.
Learn, then get quizzed
After every lesson, your AI tutor asks you a question and gives personalised feedback on your answer, so gaps get fixed immediately.
Finish with proof
Complete the course, build the capstone project, and claim a certificate recognised by 900+ hiring partners.
A complete Model Evaluation & Tuning course: free, structured and job-focused
This 1-hour machine learning model evaluation course packs 37 curated video lessons into a highly practical learning path. You'll begin with an Introduction to Model Evaluation, specifically looking at the Importance of Model Evaluation in your first lesson. From there, the curriculum covers Cross-Validation Techniques and distinct Evaluation Metrics for Regression as well as Evaluation Metrics for Classification. This ensures you know exactly how to measure success depending on the algorithm you are building.
Once you understand how to assess performance, you'll move into optimization. The modules cover Model Selection Strategies and an Introduction to Hyperparameter Tuning. You'll then practice Advanced Hyperparameter Tuning Techniques and explore standard Tools and Libraries for Model Evaluation and Tuning. By the end of the modules, you will know how to adjust your models so they perform at their absolute best.
LearnTube makes this entire process simple and interactive. We curate the best educational YouTube videos and pair them with an AI tutor that tests your knowledge. After every single video, you'll take a quick quiz to reinforce what you just watched. The learning experience is completely free, and you can choose to purchase an optional certificate once you finish. This is a great way to build the skills you need for data science roles while studying at your own pace.
Jobs you can target after learning Model Evaluation & Tuning
Model Evaluation & Tuning is a gateway skill for some of the fastest-growing roles in tech.
Trains and optimizes predictive algorithms for production environments.
Analyzes large datasets and builds models to solve business problems.
Uses statistical tools to interpret data and evaluate basic predictive trends.
Typical entry-level salary ranges in India as of September 2026. Actual compensation varies by city, company and experience.
Earn a Model Evaluation & Tuning certificate employers recognise
Finish the course and claim a certificate you can share anywhere.
- Learn 100% free: every lesson, quiz and the AI tutor cost nothing
- Claim your certificate when you complete the course (an optional paid add-on)
- Recognised by 900+ hiring partners across India
- One click to share on LinkedIn and add to your resume
Why learners choose LearnTube
Real reviews from Google. You learn free, you get assessed free, and you pay only if you want the certificate.
Though I have 11 years of experience as an HRBP, the course helped me refresh my knowledge and gave me insights into new trends in the market. The modules were clear and easy to understand, and the quizzes were well designed. I have added the certificate to my LinkedIn profile.
I had a lot of doubts while learning, but the AI chatbot answered them in detail with simple summaries. The videos on the platform saved me a lot of time as I didn't have to search YouTube and watch random content.
Just earned my certificate in HR Management from LearnTube.ai! The platform is user-friendly and the assessment was a great way to validate my knowledge. Feeling proud of this accomplishment!
I enrolled in a LearnTube personalized course to get into a Data Analytics role. It helped me learn SQL in depth and gave me hands-on experience with Power BI. I attached the LearnTube certificate to my CV, it added credibility to my profile, and I'm currently in the interview process.
The interface is user-friendly and intuitive, making it easy to navigate the course. I encountered no errors during my time using the platform, which was a refreshing change from other online learning platforms.
Just cleared the Business Analyst assessment and got certified! Loved how the course simplifies big concepts like data-driven decision making into short, practical lessons. The automated quizzes kept me on track the whole time. Perfect boost for my resume!
The certificate gave me a real edge during my B.Tech. By the time I graduated, I had skills that set me apart from my peers, and the certification opened up more job opportunities. It gave me the confidence to stand out during interviews.
I manage many software projects as a General Manager and was looking for a good certification program to stay competitive. After researching many programs, I chose LearnTube and it was much better than I expected. The material is well-organized and practical, and what I liked most is the lifetime access.
Frequently asked questions
Everything learners ask before starting this Model Evaluation & Tuning course.
Is this model evaluation and tuning course actually free?
Yes, the entire learning experience is completely free. You get full access to all 37 video lessons and the AI-driven quizzes without paying anything. You only pay if you decide to add the optional verified certificate at the end.
Why should I take a hyperparameter tuning course?
Tuning is what separates a mediocre algorithm from a highly accurate one. Companies actively look for data professionals who can optimize models to reduce errors and improve predictions, making this a highly valuable skill for any machine learning career.
Will I receive a machine learning model evaluation certificate?
Yes, you can purchase an optional certificate of completion once you finish all 8 modules. This verifiable document is a great way to show recruiters your technical skills on platforms like LinkedIn or your personal resume.
How does LearnTube differ from watching normal YouTube tutorials?
LearnTube provides a structured curriculum rather than scattered videos. Instead of searching for what to watch next, you follow a clear path with an AI tutor that gives you a quick quiz after every single lesson to test your retention.
Do I need any prior experience before starting?
Yes, you should have a basic understanding of machine learning concepts and Python programming. Familiarity with standard algorithms will help you grasp the cross-validation techniques and evaluation metrics covered in this specific curriculum much faster.
How long will it take to finish the training?
It takes about one hour to complete the entire syllabus. The content is broken down into 37 bite-sized video lessons, so you can easily study at your own pace and fit the material into a busy schedule.
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