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
Foundations
- Defining the scope of Predictive AI
- The historical development and evolution of predictive analytics
- Core concepts in machine learning and data mining
Data Acquisition and Preparation
- Sourcing appropriate data
- Cleansing and formatting data for analytical use
- Recognizing different data types and their origins
Exploratory Data Analysis (EDA)
- Using visualization techniques to derive insights
- Applying descriptive statistics and data summarization
- Detecting trends and correlations within datasets
Statistical Modeling
- Introduction to statistical inference
- Techniques for regression analysis
- Implementing classification models
Predictive Machine Learning Algorithms
- Survey of supervised learning approaches
- Utilizing decision trees and random forests
- Introduction to neural networks and deep learning principles
Model Assessment and Selection
- Interpreting model accuracy and performance indicators
- Employing cross-validation methods
- Addressing overfitting and optimizing model parameters
Real-World Applications of Predictive AI
- Industry-specific case studies
- Ethical frameworks in predictive modeling
- Addressing the limitations and challenges of Predictive AI
Practical Project
- Developing a predictive model using a provided dataset
- Deploying the model to generate forecasts
- Reviewing and interpreting final outcomes
Requirements
- A foundational grasp of basic statistics
- Practical experience with any programming language
- Proficiency in data management and spreadsheet tools
- Previous exposure to AI or data science is not a requirement
Intended Audience
- IT specialists
- Data analysts
- Technical personnel
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
