Full Code AI Agent Platforms
Scikit-learn is a free and open-source machine learning library for Python. It provides simple and efficient tools for data mining and data analysis, and is built on top of popular libraries such as NumPy, Pandas, and Matplotlib. Scikit-learn is designed to be accessible to everybody and reusable in various contexts, encouraging academic and commercial use. The library provides a wide range of algorithms for classification, regression, clustering, dimensionality reduction, and model selection, and it also includes tools for feature extraction and preprocessing. Scikit-learn is widely used in the field of machine learning and has a large and active community of contributors and users. It is well documented, with a user-friendly API and clear examples making it a great choice for both beginners and experienced practitioners.
Our Scikit-learn courses are educational programs designed to teach individuals the skills and knowledge needed to work with the Scikit-learn library for machine learning and data analysis. These courses typically cover the fundamentals of machine learning and data analysis, including topics such as supervised and unsupervised learning, regression, classification, and clustering. They also cover the specific features and functionality of Scikit-learn, such as its tools for feature extraction, model selection, and evaluation.
Our Scikit-learn courses are designed for a range of skill levels, from beginner to advanced, and are often tailored for individuals with a background in computer science or programming. They may be offered online or in-person, and can range from short tutorials to comprehensive programs that provide hands-on experience building and deploying machine learning models.
-
Building Live Voice Agents with Google’s ADK
Unlock the power of conversational AI with this hands-on course on Building Live Voice Agents with Google's Agent Development Kit (ADK). Starting from foundational concepts, you will set up the ADK environment, configure the Gemini model, and build your first voice agent capable of real-time interactions with Google Search integration. Through practical exercises, you will master the tool-calling flow, debug agent re....₵3,200.00before funding and GST
-
Build Multi Agent Systems with ADK, Streamlit, Autogen and CrewAI
Gain hands-on expertise in building powerful multi agent systems using cutting-edge frameworks including Google ADK, Streamlit, Autogen and CrewAI. This course equips you with the skills to design and deploy Agentic AI pipelines, implement Retrieval-Augmented Generation (RAG) applications, and leverage context augmentation techniques such as knowledge graphs. You will learn to deploy AI models for inference on cloud ....₵4,000.00before funding and GST
-
Python Machine Learning with Scikit Learn Training
Enter the dynamic realm of machine learning with our specialized Python training module using Scikit-Learn at Tertiary Courses. From understanding the core differences between supervised and unsupervised learning to hands-on engagements with classification model analysis, our curriculum promises in-depth exploration. F1 Score and AUC metrics ensure that participants gain key insights into the accuracy and performance....₵2,000.00before funding and GST




