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 Predictive AI
- Historical context and the evolution of predictive analytics
- Fundamental principles of machine learning and data mining
Data Collection and Preprocessing
- Gathering relevant datasets
- Cleaning and preparing data for analytical use
- Understanding different data types and their sources
Exploratory Data Analysis (EDA)
- Visualising data to reveal insights
- Utilising descriptive statistics and data summarization
- Identifying patterns and relationships within the data
Statistical Modeling
- Basics of statistical inference
- Application of regression analysis
- Implementation of classification models
Machine Learning Algorithms for Prediction
- Overview of supervised learning algorithms
- Use of decision trees and random forests
- Introduction to neural networks and deep learning fundamentals
Model Evaluation and Selection
- Understanding model accuracy and performance metrics
- Application of cross-validation techniques
- Managing overfitting and model tuning
Practical Applications of Predictive AI
- Case studies across various industries
- Ethical considerations in predictive modeling
- Limitations and challenges associated with Predictive AI
Hands-On Project
- Using a dataset to create a predictive model
- Applying the model to generate predictions
- Evaluating and interpreting the final results
Requirements
- Working knowledge of basic statistics
- Proficiency in any programming language
- Experience with data management and spreadsheet software
- No prior background in AI or data science is required
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
