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Free Courses
Model Evaluation free courses

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Model Evaluation Courses

Model evaluation is crucial in predictive modeling to assess performance and accuracy. It helps determine how well a model generalizes to new data and captures underlying patterns, guiding informed decision-making and iterative improvements.

Free courses on model evaluation teach you to use evaluation metrics, apply cross-validation techniques, and make decisions based on performance measures. These skills are essential for identifying model weaknesses, improving performance, and selecting the best predictive models. Mastering model evaluation ensures reliable, accurate models for data-driven insights and effective decision-making.

5.1L+ Learners

11 Courses

4.51

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Key Highlights

Earn an industry-recognized certificate

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Taught by industry experts and top faculty

Begin your learning journey

Start For Free

Key Highlights

Earn an industry-recognized certificate

Start anytime, learn on your schedule

Taught by industry experts and top faculty

Empowering millions through professional learning

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Empowering millions through professional learning

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Great Learning Academy

Feature Engineering Importance

4.54 · 1.5K+ learners · 1.0 hours

Skills: Feature Engineering, Feature Selection

Free

View Course

Feature Engineering Importance

4.54 · 1.5K+ learners · 1.0 hours

What you’ll learn:

Case Study
What is Feature Engineering?
Difference Between Feature Engineering and Feature Selection

View Course

Great Learning Academy

Bias Variance Tradeoff

4.59 · 1.2K+ learners · 0.5 hours

Skills: Bias, Variance, Trade-off, How to avoid overfitting and underfitting?

Free

View Course

Bias Variance Tradeoff

4.59 · 1.2K+ learners · 0.5 hours

What you’ll learn:

Agenda of Bias and Variance
Introduction to Bias and Variance
Bias and Variance in Machine Learning

View Course

Great Learning Academy

KNN Algorithm

4.41 · 2.9K+ learners · 0.5 hours

Skills: KNN, KNN Demo

Free

View Course

KNN Algorithm

4.41 · 2.9K+ learners · 0.5 hours

What you’ll learn:

Introduction to KNN
Implementation of KNN
Target Imbalance Problem

View Course

Great Learning Academy

Hierarchical Clustering

4.52 · 2.1K+ learners · 1.0 hours

Skills: Introduction to Hierarchical Clustering, Agglomerative Hierarchical Clustering, Euclidean Distance, Manhattan Distance, Minkowski Distance, Jaccard Index, Cosine Similarity, Optimal Number of Clusters

Free

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Hierarchical Clustering

4.52 · 2.1K+ learners · 1.0 hours

What you’ll learn:

Introduction to Hierarchical Clustering
Types of Hierarchical Clustering
Agglomerative Hierarchical Clustering

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Great Learning Academy

Python for Machine Learning

4.51 · 4.6L+ learners · 1.5 hours

Skills: NumPy, Pandas

Free

View Course

Python for Machine Learning

4.51 · 4.6L+ learners · 1.5 hours

What you’ll learn:

Intro to Numpy
Joining NumPy Arrays
Numpy Intersection & Difference

View Course

Supervised Machine Learning with Logistic Regression and Naïve Bayes

Great Learning Academy

Supervised Machine Learning with Logistic Regression and Naïve Bayes

4.43 · 21.2K+ learners · 2.0 hours

Skills: Scikit Learn Library,Logistic Regression, Naïve Bayes

Free

View Course

Supervised Machine Learning with Logistic Regression and Naïve Bayes

4.43 · 21.2K+ learners · 2.0 hours

What you’ll learn:

What is Machine Learning?
What is Supervised Learning?
What is Logistic Regression?

View Course

Unsupervised Machine Learning with K-means

Great Learning Academy

Unsupervised Machine Learning with K-means

4.42 · 11.4K+ learners · 1.5 hours

Skills: Unsupervised Learning,Clustering, k-means Clustering

Free

View Course

Unsupervised Machine Learning with K-means

4.42 · 11.4K+ learners · 1.5 hours

What you’ll learn:

What is Machine Learning?
Types of Machine Learning
What is Unsupervised Learning?

View Course

Supervised Machine Learning with Tree Based Models

Great Learning Academy

Supervised Machine Learning with Tree Based Models

4.56 · 9.7K+ learners · 2.0 hours

Skills: Scikit Learn Library, Decision Tree, Random Forest, Demonstration for Algorithms

Free

View Course

Supervised Machine Learning with Tree Based Models

4.56 · 9.7K+ learners · 2.0 hours

What you’ll learn:

Introduction to Decision Tree
Demo for Decision Tree
Introduction to Random Forest

View Course

Great Learning Academy

Machine Learning Modelling

4.62 · 4.6K+ learners · 2.5 hours

Skills: Linear Regression, Logistic Regression, Naïve Bayes

Free

View Course

Machine Learning Modelling

4.62 · 4.6K+ learners · 2.5 hours

What you’ll learn:

What is Naïve Bayes?
Introduction to Linear Regression
Linear Regression Modelling

View Course

Great Learning Academy

k-fold Cross Validation

4.61 · 1.8K+ learners · 1.0 hours

Skills: Introduction to Cross Validation, Process of Cross Validation, Types of Cross Validation

Free

View Course

k-fold Cross Validation

4.61 · 1.8K+ learners · 1.0 hours

What you’ll learn:

Overview of Machine Learning
Introduction to Cross Validation
Process of Cross Validation

View Course

Great Learning Academy

Feature Engineering

4.58 · 3.1K+ learners · 1.5 hours

Skills: Process of feature engineering, Feature engineering techniques, Correlation matrix, Model performance analysis, Feature engineering demo using a real-life dataset

Free

View Course

Feature Engineering

4.58 · 3.1K+ learners · 1.5 hours

What you’ll learn:

Understanding Feature Engineering
Goal of Feature Engineering
Process of Feature Engineering

View Course

Popular

Great Learning Academy

Python for Machine Learning

4.51 · 4.6L+ learners · 1.5 hours

Skills: NumPy, Pandas

Free

View Course

Python for Machine Learning

4.51 · 4.6L+ learners · 1.5 hours

What you’ll learn:

Intro to Numpy
Joining NumPy Arrays
Numpy Intersection & Difference

View Course

Great Learning Academy

Supervised Machine Learning with Logistic Regression and Naïve Bayes

4.43 · 21.2K+ learners · 2.0 hours

Skills: Scikit Learn Library,Logistic Regression, Naïve Bayes

Free

View Course

Supervised Machine Learning with Logistic Regression and Naïve Bayes

4.43 · 21.2K+ learners · 2.0 hours

What you’ll learn:

What is Machine Learning?
What is Supervised Learning?
What is Logistic Regression?

View Course

Great Learning Academy

Unsupervised Machine Learning with K-means

4.42 · 11.4K+ learners · 1.5 hours

Skills: Unsupervised Learning,Clustering, k-means Clustering

Free

View Course

Unsupervised Machine Learning with K-means

4.42 · 11.4K+ learners · 1.5 hours

What you’ll learn:

What is Machine Learning?
Types of Machine Learning
What is Unsupervised Learning?

View Course

Great Learning Academy

Supervised Machine Learning with Tree Based Models

4.56 · 9.7K+ learners · 2.0 hours

Skills: Scikit Learn Library, Decision Tree, Random Forest, Demonstration for Algorithms

Free

View Course

Supervised Machine Learning with Tree Based Models

4.56 · 9.7K+ learners · 2.0 hours

What you’ll learn:

Introduction to Decision Tree
Demo for Decision Tree
Introduction to Random Forest

View Course

New

Great Learning Academy

Feature Engineering Importance

4.54 · 1.5K+ learners · 1.0 hours

Skills: Feature Engineering, Feature Selection

Free

View Course

Feature Engineering Importance

4.54 · 1.5K+ learners · 1.0 hours

What you’ll learn:

Case Study
What is Feature Engineering?
Difference Between Feature Engineering and Feature Selection

View Course

Great Learning Academy

Bias Variance Tradeoff

4.59 · 1.2K+ learners · 0.5 hours

Skills: Bias, Variance, Trade-off, How to avoid overfitting and underfitting?

Free

View Course

Bias Variance Tradeoff

4.59 · 1.2K+ learners · 0.5 hours

What you’ll learn:

Agenda of Bias and Variance
Introduction to Bias and Variance
Bias and Variance in Machine Learning

View Course

Great Learning Academy

KNN Algorithm

4.41 · 2.9K+ learners · 0.5 hours

Skills: KNN, KNN Demo

Free

View Course

KNN Algorithm

4.41 · 2.9K+ learners · 0.5 hours

What you’ll learn:

Introduction to KNN
Implementation of KNN
Target Imbalance Problem

View Course

Great Learning Academy

Hierarchical Clustering

4.52 · 2.1K+ learners · 1.0 hours

Free

View Course

Hierarchical Clustering

4.52 · 2.1K+ learners · 1.0 hours

What you’ll learn:

Introduction to Hierarchical Clustering
Types of Hierarchical Clustering
Agglomerative Hierarchical Clustering

View Course

Trending

Great Learning Academy

Machine Learning Modelling

4.62 · 4.6K+ learners · 2.5 hours

Skills: Linear Regression, Logistic Regression, Naïve Bayes

Free

View Course

Machine Learning Modelling

4.62 · 4.6K+ learners · 2.5 hours

What you’ll learn:

What is Naïve Bayes?
Introduction to Linear Regression
Linear Regression Modelling

View Course

Great Learning Academy

k-fold Cross Validation

4.61 · 1.8K+ learners · 1.0 hours

Skills: Introduction to Cross Validation, Process of Cross Validation, Types of Cross Validation

Free

View Course

k-fold Cross Validation

4.61 · 1.8K+ learners · 1.0 hours

What you’ll learn:

Overview of Machine Learning
Introduction to Cross Validation
Process of Cross Validation

View Course

Great Learning Academy

Feature Engineering

4.58 · 3.1K+ learners · 1.5 hours

Skills: Process of feature engineering, Feature engineering techniques, Correlation matrix, Model performance analysis, Feature engineering demo using a real-life dataset

Free

View Course

Feature Engineering

4.58 · 3.1K+ learners · 1.5 hours

What you’ll learn:

Understanding Feature Engineering
Goal of Feature Engineering
Process of Feature Engineering

View Course

All Model Evaluation Courses

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Time to complete

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Free Model Evaluation Courses

Great Learning Academy

Python for Machine Learning

4.51 · 4.6L+ learners · 1.5 hours

Skills: NumPy, Pandas

Free

View Course

Python for Machine Learning

4.51 · 4.6L+ learners · 1.5 hours

What you’ll learn:

Intro to Numpy
Joining NumPy Arrays
Numpy Intersection & Difference

View Course

Great Learning Academy

Supervised Machine Learning with Tree Based Models

4.56 · 9.7K+ learners · 2.0 hours

Skills: Scikit Learn Library, Decision Tree, Random Forest, Demonstration for Algorithms

Free

View Course

Supervised Machine Learning with Tree Based Models

4.56 · 9.7K+ learners · 2.0 hours

What you’ll learn:

Introduction to Decision Tree
Demo for Decision Tree
Introduction to Random Forest

View Course

Great Learning Academy

Supervised Machine Learning with Logistic Regression and Naïve Bayes

4.43 · 21.2K+ learners · 2.0 hours

Skills: Scikit Learn Library,Logistic Regression, Naïve Bayes

Free

View Course

Supervised Machine Learning with Logistic Regression and Naïve Bayes

4.43 · 21.2K+ learners · 2.0 hours

What you’ll learn:

What is Machine Learning?
What is Supervised Learning?
What is Logistic Regression?

View Course

Great Learning Academy

KNN Algorithm

4.41 · 2.9K+ learners · 0.5 hours

Skills: KNN, KNN Demo

Free

View Course

KNN Algorithm

4.41 · 2.9K+ learners · 0.5 hours

What you’ll learn:

Introduction to KNN
Implementation of KNN
Target Imbalance Problem

View Course

Great Learning Academy

Unsupervised Machine Learning with K-means

4.42 · 11.4K+ learners · 1.5 hours

Skills: Unsupervised Learning,Clustering, k-means Clustering

Free

View Course

Unsupervised Machine Learning with K-means

4.42 · 11.4K+ learners · 1.5 hours

What you’ll learn:

What is Machine Learning?
Types of Machine Learning
What is Unsupervised Learning?

View Course

Great Learning Academy

Hierarchical Clustering

4.52 · 2.1K+ learners · 1.0 hours

Free

View Course

Hierarchical Clustering

4.52 · 2.1K+ learners · 1.0 hours

What you’ll learn:

Introduction to Hierarchical Clustering
Types of Hierarchical Clustering
Agglomerative Hierarchical Clustering

View Course

Great Learning Academy

Feature Engineering

4.58 · 3.1K+ learners · 1.5 hours

Skills: Process of feature engineering, Feature engineering techniques, Correlation matrix, Model performance analysis, Feature engineering demo using a real-life dataset

Free

View Course

Feature Engineering

4.58 · 3.1K+ learners · 1.5 hours

What you’ll learn:

Understanding Feature Engineering
Goal of Feature Engineering
Process of Feature Engineering

View Course

Great Learning Academy

Feature Engineering Importance

4.54 · 1.5K+ learners · 1.0 hours

Skills: Feature Engineering, Feature Selection

Free

View Course

Feature Engineering Importance

4.54 · 1.5K+ learners · 1.0 hours

What you’ll learn:

Case Study
What is Feature Engineering?
Difference Between Feature Engineering and Feature Selection

View Course

Great Learning Academy

Machine Learning Modelling

4.62 · 4.6K+ learners · 2.5 hours

Skills: Linear Regression, Logistic Regression, Naïve Bayes

Free

View Course

Machine Learning Modelling

4.62 · 4.6K+ learners · 2.5 hours

What you’ll learn:

What is Naïve Bayes?
Introduction to Linear Regression
Linear Regression Modelling

View Course

Great Learning Academy

Python for Machine Learning

Skills: NumPy, Pandas

4.51 · 4.6L+ learners · 1.5 hours

Free

View Course

Great Learning Academy

Supervised Machine Learning with Tree Based Models

Skills: Scikit Learn Library, Decision Tree, Random Forest, Demonstration for Algorithms

4.56 · 9.7K+ learners · 2.0 hours

Free

View Course

Great Learning Academy

Supervised Machine Learning with Logistic Regression and Naïve Bayes

Skills: Scikit Learn Library,Logistic Regression, Naïve Bayes

4.43 · 21.2K+ learners · 2.0 hours

Free

View Course

Great Learning Academy

KNN Algorithm

Skills: KNN, KNN Demo

4.41 · 2.9K+ learners · 0.5 hours

Free

View Course

Great Learning Academy

Unsupervised Machine Learning with K-means

Skills: Unsupervised Learning,Clustering, k-means Clustering

4.42 · 11.4K+ learners · 1.5 hours

Free

View Course

Great Learning Academy

Hierarchical Clustering

4.52 · 2.1K+ learners · 1.0 hours

Free

View Course

Great Learning Academy

Feature Engineering

Skills: Process of feature engineering, Feature engineering techniques, Correlation matrix, Model performance analysis, Feature engineering demo using a real-life dataset

4.58 · 3.1K+ learners · 1.5 hours

Free

View Course

Great Learning Academy

Feature Engineering Importance

Skills: Feature Engineering, Feature Selection

4.54 · 1.5K+ learners · 1.0 hours

Free

View Course

Great Learning Academy

Machine Learning Modelling

Skills: Linear Regression, Logistic Regression, Naïve Bayes

4.62 · 4.6K+ learners · 2.5 hours

Free

View Course

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Model Evaluation free courses

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Learner reviews of the Free Model Evaluation Courses

Our learners share their experiences of our courses

4.51

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★ ☆

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68%

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23%

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★

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Irsa Imtiaz

5.0

★★★★ ★

“My Experience About This Course Was Great”

I really enjoyed the course, and the course flow is very easy to understand. I love having this course. The learning experience is really great.

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Abishek SK (RA2111003040136)

4.0

★★★ ★ ☆

“The Hands-On Projects and Real-World Datasets Provided Excellent Practical Experience”

This course was a great introduction to Python for Machine Learning. I really enjoyed the clear explanations of core concepts like supervised learning, unsupervised learning, and deep learning. The hands-on labs with libraries like TensorFlow, Keras, and Scikit-learn helped solidify my understanding. I also appreciated the focus on real-world applications and the opportunities to work on projects that applied these techniques to real datasets. Overall, it's a great course for anyone looking to build a strong foundation in machine learning with Python.

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Rakesh Battina

5.0

★★★★ ★

“Great Learning: Bridging Knowledge and Industry Skills”

Great Learning offers exceptional courses on NumPy, Pandas, and introductory AI and machine learning. The classes are well-structured, providing a solid foundation in data manipulation and analysis. Instructors are highly knowledgeable and offer real-world insights, making complex topics easy to understand. The hands-on projects reinforce learning and prepare students for industry challenges. This platform is perfect for anyone looking to enhance their skills and advance in the field of data science and AI. Highly recommended!

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Elham Ebrahimikiadehi

5.0

★★★★ ★

“Quality and Usability of the Course”

It was an easy-to-use and applicable course. My data analysis journey started with your courses.

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Madhu Yadav

4.0

★★★ ★ ☆

“Python for Machine Learning (NumPy and Pandas)”

The "Python for Machine Learning" course at Great Learning offers a thorough introduction to key machine learning concepts and practical applications. The course content is well-structured, covering essential topics such as data preprocessing, feature engineering, and model evaluation. The hands-on projects and coding exercises provide valuable practical experience, reinforcing theoretical knowledge. The instructor's clear explanations and real-world examples greatly enhance the learning experience.

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Panagiota Grosdouli

4.0

★★★ ★ ☆

“Really Enjoyed the Lesson. It Was Easy to Follow and Well-Structured”

I really enjoyed the lesson. It was easy to follow and well-structured, making the concepts clear and understandable. The explanations were concise, and the examples helped reinforce the material. Overall, it was an engaging and informative session that kept me interested throughout.

LinkedIn Profile

Praju K K

5.0

★★★★ ★

“Highlight of Your Learning Experience: I Enjoyed the Hands-On Projects and Collaborative Discussions”

I thoroughly enjoyed the hands-on projects that allowed me to apply theoretical concepts in practical scenarios. Collaborative discussions with peers enhanced my understanding and provided diverse perspectives, making the learning process more engaging and enjoyable.

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Mouli Gunisetti

5.0

★★★★ ★

“Comprehensive Introduction to Pandas and NumPy in Machine Learning”

I recently completed the Python for Machine Learning course with Great Learning, and I found it very informative and practical. The introduction to pandas and NumPy was particularly helpful, and the exercises gave me a solid hands-on experience with these libraries. The instructors were clear and made the concepts easy to understand. However, I would have appreciated more complex real-world examples in the exercises. Overall, it was a great learning experience!

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Ryan Nyabeze

5.0

★★★★ ★

“Amazing Experience, Very Informative”

I enjoyed the fact that it was easy to follow and quite informative.

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Kunal Mhaske

5.0

★★★★ ★

“An Exceptional Learning Experience with Great Learning”

Great Learning provides excellent courses with engaging content and support.

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