Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Kapoor says he is advising clients not to rely on drop-shipping "de minimis" imports from anywhere as a core part of their logistics strategy. "We're advising people to expect that this "de ...

Please note that not all code from all courses will be found in this repository. Some newer code examples (e.g. most of Tensorflow 2.0) were done in Google Colab. Therefore, you should check the ...

Python (TensorFlow, Scikit-learn, Pandas, NumPy) Frontend: Streamlit NLP: Natural Language Toolkit (NLTK), Tokenizers Modeling: LSTM (Keras), Logistic Regression (Sklearn) Visualization: Matplotlib, ...