python ml tips how to use elasticnet in sklearn lasso ridge regularization together скачать в хорошем качестве

python ml tips how to use elasticnet in sklearn lasso ridge regularization together

https://www.datasimple.education/data... Hey there, budding data enthusiasts! Today, we're diving into the fascinating world of machine learning and regularization techniques. Imagine you're a wizard trying to craft the perfect spell – you want just the right amount of power without overloading your wand. Well, in the realm of data, ElasticNet is a magical incantation that helps us find that balance between two essential components: the power of multiple features (or variables) and the need to prevent our model from becoming too complex. It's like having a trusty compass that guides us through the treacherous seas of high-dimensional data, combining the strengths of two other spells – Lasso and Ridge regression. So, let's unravel the secrets of ElasticNet and see how it works its enchanting charm on our data spells! To understand ElasticNet let's imagine it as a fusion of two superheroes in the world of machine learning – Lasso and Ridge regression. Just like a skilled DJ mixing two favorite tunes, ElasticNet combines the strengths of Lasso's 'feature silencing' and Ridge's 'coefficient taming' abilities. How does it work, you ask? Well, it's all about the formula that marries L1 and L2 regularization terms. L1 helps us say "goodbye" to unnecessary features by forcing some coefficients to be zero, while L2 keeps the model's enthusiasm in check by penalizing large coefficients. Now, here's the cool part – ElasticNet isn't rigid like a set of rules, it's more like a musical improvisation. It adapts to your data's rhythm, effortlessly handling situations where there are many features or when you need just the right balance between simplicity and complexity. In short, ElasticNet is your ML maestro, conducting the symphony of feature selection and model finesse with grace and flair! Python Basics https://www.datasimple.education/pyth... check out more data learning videos https://www.datasimple.education/data... One on one time with Data Science Teacher Brandyn https://www.datasimple.education/one-... data science teacher brandyn on facebook   / datascienceteacherbrandyn   data science teacher brandyn on linkedin   / admin   Showcase your DataArt linkedin   / 1038628576726134   Showcase your DataArt facebook   / 12736236   Python data analysis group, share your analysis   / 1531938470572261   Machine learning in sklearn group   / 575574217682061   Join the deep learning with tensorflow for more info   / 369278408349330