This is the repository for the LinkedIn Learning course Machine Learning with Python: Logistic Regression. The full course is available from LinkedIn Learning. Are you looking for a practical way to ...

Python has a plethora of machine learning libraries, but the top 5 libraries are TensorFlow, Keras, PyTorch, Scikit-learn, and Pandas. These libraries offer a wide range of tools for various ...

Scikit-learn - It is a machine learning library that enables tools for used for many other machine learning algorithms such as classification, prediction, etc. Pickle- The pickle module is used for ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

The demo program loads a 200-item set training data and a 40-item set of test data into memory. Next, the demo trains a logistic regression model using raw Python, rather than by using a machine ...

FinRegLab today released new empirical research demonstrating that adopting machine learning techniques and incorporating ...

Regression Using LightGBM. Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value. By ...

Linear regression is an excellent place to start when using machine learning to predict numbers. Combined with relevant features, it’s a slam dunk. Related content ...