The Data Science Lab. Logistic Regression from Scratch Using Raw Python. The fundamental technique has been studied for decades, thus creating a huge amount of information and alternate variations ...

In this project, I implement Logistic Regression algorithm with Python. I build a classifier to predict whether or not it will rain tomorrow in Australia by training a binary classification model ...

Multinomial Logistic Regression. More than two Categories possible without ordering. Ordinal Logistic Regression. More than two Categories possible with ordering. Real-world Example with Python: Now ...

Classification and regression models are very helpful in completing almost every aspect of data science and both of them are very different from each other. Even the type of data these methods use is ...

In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data. ... Use ...

Data Science for Marketing Analytics covers every stage of data analytics, from working with a raw dataset to segmenting a population and modeling different parts of it based on the segments. The ...