Python has become the most popular data science and machine learning programming language. But in order to obtain effective data and results, it’s important that you have a basic understanding of how ...

Required skills: Proficiency in programming (Python, R, etc.), statistical analysis, data visualization, machine learning algorithms and data manipulation.

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

Artificial Intelligence has gained momentum in the field of technology very quickly. It is not only promoting innovation but ...

New and seasoned data scientists can utilize ELI5 thanks to its simple user interface. 6. Eli5 ELI5 is a Python package that helps to debug machine learning classifiers and explain their predictions.

Microsoft has open sourced "ONNX Script," a library for authoring machine learning models in Python. While Python has long been recognized as a go-to programming language for data science and is often ...

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Key Takeaways Beginner-friendly data science courses teach real-world skills in simple steps.Online platforms offer flexible ...

Jeevan is also deeply involved in MLOps (Machine Learning Operations), ensuring that the models he develops are not only accurate but also scalable, maintainable, and capable of continuous ...

Despite its popularity, Python could become limited to data science alone on its current trajectory, say two experts. Written by Liam Tung, Contributing Writer Oct. 20, 2020, 4:10 a.m. PT ...

Blue River Technology is using the Python-based machine-learning framework to develop smarter crop-spraying tech. Written by Owen Hughes, Senior Editor Aug. 11, 2020 at 3:12 a.m. PT ...