Understanding LLM’s: January 13th & 14th, 2025
2 – Half Days (9:00 a.m to 12:00 p.m PST) ENDING IN :
D
H
M
S
-
Byte-Sized ML Series: Classification Algorithms
Duration: 90 Minutes Code: BDT178 Category:In this session, we’ll explore the machine learning process and discuss how to train a machine learning model to make predictions and classify data.
-
Introduction to Statistical Analysis with R
Duration: 2 Full Days Or 4 Half Days Code: BDT154 Category:This course will provide an introduction to statistical analysis and data modeling.
-
Jupyter Notebook for Effective Data Analysis and Collaboration
Duration: Half Day Code: BDT153 Category:This course will help you to become familiar with the popular Jupyter Notebook environment and all of its features.
-
Scraping and Sourcing Data with Python
Duration: 1 Day Code: BDT120 Category:The ability to locate and acquire important data is a valuable skill for doing data analysis and data science.
-
Python Data Cleaning
Duration: Half Day (3 hours) Code: BDT119 Category:When doing data science and data analysis, in order to achieve your purpose, it’s important to have cleaned and well-prepared data to learn from.
-
Introduction to GitHub and Code Collaboration
Duration: Half Day (3 hours) Code: BDT118 Category:Once you’ve learned the basics of coding it’s important to have the ability to both share your expertise as well as to learn from others’ code.
-
Advancing into Data Analytics from Excel to Python
Duration: 1 Day Code: BDT117 Category:Excel users will review the foundations of data analytics using Excel and then transfer and advance that knowledge to perform a complete data analysis using the Python programming language.
-
AI/ML Byte-Sized Series: Machine Learning Introduction
Duration: 90 Minutes Code: BDT115 Category:A short session indented to understand machine learning, what is involved in doing machine learning development. This session is an initial step to getting started with machine learning development using python.
-
AI/ML Byte-Sized Series: Unsupervised Learning
Duration: 90 Minutes Code: BDT114 Category:Cluster analysis is a vital component of unsupervised learning and data science. In this short session, we will explore the couple of unsupervised learning techniques – perform data clustering, reduce data dimensionality.
-
AI/ML Byte-Sized Series: Recommendation Systems
Duration: 90 Minutes Code: BDT113 Category:A short course on understanding what are recommendation systems. Understand different types of recommendation systems and the tools used to build them.