Bevan Smith 2
Hi, I'm Bevan Smith. Welcome to my data science channel.
The aim is to present a relatively thorough overview of introductory machine learning and data science topics.
I hope to present topics on what is machine learning, supervised learning, regression and classification, cross-validation and also to show the viewer actual examples using Python and Scikit-learn.
Eventually I want to present more advanced topics describing linear and logistic regression, decision trees, random forest, boosting and neural networks.
I also plan to present topics on feature selection using various model-agnostic methods such as LIME and SHAP.
I hope you learn something from this channel. Please give me feedback, I would love to hear from you.
The aim is to present a relatively thorough overview of introductory machine learning and data science topics.
I hope to present topics on what is machine learning, supervised learning, regression and classification, cross-validation and also to show the viewer actual examples using Python and Scikit-learn.
Eventually I want to present more advanced topics describing linear and logistic regression, decision trees, random forest, boosting and neural networks.
I also plan to present topics on feature selection using various model-agnostic methods such as LIME and SHAP.
I hope you learn something from this channel. Please give me feedback, I would love to hear from you.