Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Introduction
- Defining the scope and nature of Predictive AI
- Reviewing the historical context and evolution of predictive analytics
- Exploring the foundational principles of machine learning and data mining
Data Collection and Preprocessing
- Strategies for gathering relevant data
- Techniques for cleaning and preparing data for analysis
- Distinguishing between different data types and sources
Exploratory Data Analysis (EDA)
- Using data visualization to extract insights
- Applying descriptive statistics for data summarization
- Recognizing patterns and relationships within the data
Statistical Modeling
- Fundamentals of statistical inference
- Analyzing trends through regression analysis
- Implementing classification models
Machine Learning Algorithms for Prediction
- Surveying supervised learning algorithms
- Utilizing decision trees and random forests
- Introducing the basics of neural networks and deep learning
Model Evaluation and Selection
- Interpreting model accuracy and key performance metrics
- Employing cross-validation techniques
- Addressing overfitting and optimizing model tuning
Practical Applications of Predictive AI
- Examining case studies from diverse industries
- Navigating ethical considerations in predictive modeling
- Recognizing the limitations and challenges inherent in Predictive AI
Hands-On Project
- Developing a predictive model using a practical dataset
- Deploying the model to generate predictions
- Analyzing and interpreting the resulting outputs
Requirements
- A solid grasp of basic statistics
- Proficiency in any programming language
- Comfort with data handling and spreadsheet tools
- No previous experience in AI or data science is necessary
Target Audience
- IT professionals
- Data analysts
- Technical staff
Testimonials (3)
basics and loved the prepared documents and exercises
Rekha Nallam - GE Medical Systems Polska Sp. z o.o.
Course - Introduction to Predictive AI
Opportunity to use a pre-created models, understand how do they work and tweak them live and see the results. Choice ov VSCode with Jupyter was a perfect option for such way of leading the training.
Krzysztof - GE Medical Systems Polska Sp. z o.o.
Course - Introduction to Predictive AI
Difficult topics presented in simple, user-friendly way
