Are you new to the field of machine learning and don’t know where to start to begin mastery the fundamentals?
Get your hands on the SAMPLE OF LINEAR REGRESSION MODELS, and delve into the world of well-known models. Gain a deep understanding of the underlying fundamentals, and kickstart your journey towards mastering the machine learning process. From data preparation to model fitting, prediction, and evaluation, this sample will set you on the right path.
Learn the most famous linear models in machine learning
Learn the mathematics behind
Learn how to apply these models using a practical example within Python
Learn how to use scikit-learn library to fit your model and choose the parameters
You feel unsure about where to begin your learning journey, with the abundance of resources available.
You want to understand the fundamental concepts of the underlying mathematics in a straightforward manner.
You are eager to explore the renowned models in the field of Machine Learning (ML).
You are eager to apply Python and scikit-learn to develop a comprehensive machine learning workflow, step by step.
Hi there! I’m Hanane, and I’m passionate about machine learning, AI (ChatGPT), and algorithmic trading. I’m the creator behind this blogging website.
Currently, I work as an algo trader in a bank, leveraging my background as a data scientist. I have a strong enthusiasm for delving into various technical fields.
Throughout my learning journey, I have explored self-learning in areas such as data science, web development, and algorithmic trading.
In this sample, I share with you explanations and interpretations of well-known linear regression models. I also demonstrate how to implement a step-by-step machine learning process, from data gathering to model fitting and evaluation, using Python and scikit-learn.
I hope you enjoy reading it!