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 of Predictive AI
- Historical background and the evolution of predictive analytics
- Fundamental principles of machine learning and data mining
Data Collection and Preparation
- Acquiring relevant datasets
- Cleaning and structuring data for analytical use
- Comprehending different data types and their sources
Exploratory Data Analysis (EDA)
- Using visualization to gain insights
- Applying descriptive statistics and data summarization techniques
- Detecting patterns and correlations within the data
Statistical Modeling
- Foundations of statistical inference
- Conducting regression analysis
- Building classification models
Predictive Machine Learning Algorithms
- Overview of supervised learning approaches
- Utilizing decision trees and random forests
- Introductory concepts of neural networks and deep learning
Model Assessment and Selection
- Interpreting model accuracy and performance indicators
- Implementing cross-validation methods
- Managing overfitting and tuning model parameters
Real-World Applications of Predictive AI
- Examining case studies from diverse sectors
- Navigating ethical considerations in predictive modeling
- Addressing the limitations and challenges associated with Predictive AI
Practical Project
- Developing a predictive model using a specific dataset
- Deploying the model to generate forecasts
- Analyzing and interpreting the final outcomes
Requirements
- A foundational understanding of basic statistics
- Proficiency in any programming language
- Experience with data management and spreadsheet tools
- No previous background in AI or data science is necessary
Target Audience
- IT professionals
- Data analysts
- Technical team members
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
