Linear regression models
Are you feeling overwhelmed by the abundance of scattered information and unsure where to begin?
If so, my ebook, “Linear Regression Models,” is the perfect resource to begin your learning journey. It provides clear explanations and step-by-step guidance to help you grasp the fundamentals and build a solid foundation in linear regression.
I wish I had access to such a valuable resource when I embarked on my own learning journey six years ago.
Show me how!
Get access to over 80 pages of content!
17€ 10€
What's included:
This is what you’ll get with your purchase, to help you gain knowledge in algorithmic trading:
Comprehensive breakdown of the cost function in linear models, including a detailed explanation of the underlying mathematics and techniques for optimization.
Clear understanding of optimization algorithms such as Gradient Descent and Coordinate Descent
Precise explanation of different forms of regularization (L1 and L2 penalties), the underlying reasoning, and visual aids for easy comparison.
Complete implementation in Python using Scikit-learn, covering every step of the machine learning process, including data preprocessing and the entire workflow of model fitting, evaluation, and prediction.
Hyperparameters optimization through cross-validation
THIS EBOOK "Linear Regression MODELS" IS FOR YOU IF...
You are tired of constantly jumping from one article to another, only to be overwhelmed by the excessive amount of information without gaining any substantial knowledge.
You are interested in acquiring the skills to construct a step-by-step machine learning process.
You aim to grasp the foundational concepts of the underlying mathematics in a simplified manner.
You are looking to gain hands-on experience in implementing popular linear regression models such as OLS, Ridge, Lasso, ElasticNet, LARS, Logistic Regression, and Polynomial Regression using Python and scikit-learn.
You want to have all of that available in a single location.
CREATED BY HANANE D.
With over a decade of experience in the financial sector, becoming a data scient and an algorithmic trader, I have developed a diverse skill set. Along my journey, I delved into self-learning, exploring data science, web development, and algorithmic trading. Through numerous professional and independent projects, I had the opportunity to put these skills into practice.
In this ebook, I share my learning path towards mastering machine learning, simplifing the explanation and the description of different concepts, like cost functions, optimization algorithms and regularization. I would have loved to have such a resource 6 years ago when I started acquiring knowledge in the field of machine learning.
17€ 10€
