In this course we'll go from A-Z through all the fundamental machine learning concepts.
We'll start at the very beginning and get a fundamental overview of the whole machine learning workload, learning about the different steps of data preparation and processing, creating pipelines and transformers, as well as creating and evaluation models.
Then we'll dive deeper into different areas of Machine Learning, specifically
- Classification
- Regression
- Ensembles
- Dimensionality Reduction
- Unsupervised Learning
And in each step we'll learn about different models, the theory behind each model, how to implement and use each model in practice, as well as other important components such as how to optimize the model and what different evaluations metrics can be used.
By the end of this course you'll come out with a great foundation in machine learning and will be able to implement and train your own models directly in Python.
Malleable Software Private Limited Is A software Development Compony in which we want to promote students learning new technologies.