Artificial Intelligence with Fuzzy Logic and Python

Fuzzy logic is a powerful tool for dealing with uncertainty and ambiguity, in a similar way in which we as humans tend to think. For this reason, it is said that fuzzy logic is inspired by human expertise and it allows computers to make decisions in situations where there is not enough information to make a yes or no answer. By learning fuzzy logic with Python, you can develop applications that can make decisions in the real world based on your expertise.

Table of contents

• What is fuzzy-logic and its relationship with AI

• Fuzzy logic elements

• Applied example with Python

• Conclusions

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Mastering the Art of Supervised Learning Hyperparameter Optimization: A Practical Approach with Python & Grid Search Cross-Validation.

Hyperparameter optimization is a crucial aspect of supervised learning, enabling you to fine-tune the parameters of machine learning algorithms to achieve optimal performance. This course provides tools for hyperparameter optimization by using Grid Seach Cross-Validation (GridSearchCV). You will be able to effectively tune supervised learning hyperparameters algorithms like linear regression, K-Nearest neighbours, decision trees, support vector machines, random forests and gradient boosting

• Basic concepts of supervised learning

• Preparing for Modeling.

• Supervised learning algorithms for regression.

• Advanced supervised learning algorithms for regression

• Training and hyperparameter optimization with Grid Search cross-validation.

• All together

• Conclusion

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