Course in Machine Learning Predictive: Course in Machine Learning predictive

One of the decisive aspects when carrying out any automatic learning project or Data Science in general, is the choice of the appropriate algorithm according to the task to be performed (classification, regression, clustering ...). The choice of the correct algorithm can be decisive when obtaining quality results and therefore must be adequate. This course in Machine Learning predictive prepares you to face the prediction stage with total guarantees. From the choice of the correct algorithm according to the type of problem to be predicted, through the selection of the optimal parameters for each method and ending the report and analysis of the final results obtained after the inference process.

- Know what data science and Machine Learning are. - Enter the different predictive problems. - Know the different prediction algorithms. - Obtaining, preprocessing and data analysis. - Analysis of results.

The main professional skills and exits that this course in Machine Learning predictive gives you are those of an expert in prediction (classification, regression, clustering ...) with classic algorithms and deep learning with competencies for other data science positions such as data processing and results analysis.

This online course in Machine Learning predictive prepares you to be able to predict a wide variety of problems. With it, you will learn the basis of automatic learning and data science, how to handle and treat the data associated with problems and how to attack the different types that can occur using a wide variety of algorithms, from the most classic to the innovative deep learning algorithms.

The predictive Machine Learning course is aimed at anyone interested in entering the world of data science and the use of Machine Learning algorithms for predictive tasks, as well as professionals who wish to continue training or update their knowledge in this area.

This training is not included in the scope of official regulated training (Infant Education, Primary Education, Secondary Education, Official Professional Training FP, Baccalaureate, University Degree, Official University Master and PhD). It is therefore a complementary and/or specialization training, aimed at acquiring certain skills, skills or aptitudes of a professional nature, being able to be barely as merit in workbags and/or opposition competitions, always within the complementary training section and/or continuous training being always essential to review the specific requirements of the public labor stock of the public labor stock market.