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Duration 21 hours
Course Outline
Introduction
- Defining the scope of Predictive AI
- The historical context and evolution of predictive analytics
- Foundational principles of machine learning and data mining
Data Collection and Preprocessing
- Gathering relevant datasets
- Cleaning and preparing data for effective analysis
- Understanding various data types and their sources
Exploratory Data Analysis (EDA)
- Using visualization tools to gain insights
- Applying descriptive statistics and data summarization
- Identifying underlying patterns and relationships
Statistical Modeling
- Foundations of statistical inference
- Techniques in regression analysis
- Developing classification models
Machine Learning Algorithms for Prediction
- An overview of supervised learning algorithms
- Utilizing decision trees and random forests
- Introduction to neural networks and deep learning
Model Evaluation and Selection
- Understanding accuracy and performance metrics
- Applying cross-validation techniques
- Managing overfitting and model tuning
Practical Applications of Predictive AI
- Reviewing case studies across diverse industries
- Considering ethical implications in predictive modeling
- Recognizing the limitations and challenges of Predictive AI
Hands-On Project
- Building a predictive model using a real dataset
- Deploying the model to generate predictions
- Evaluating and interpreting the final results
Requirements
- A foundational understanding of basic statistics.
- Experience with any programming language.
- Familiarity with data handling and spreadsheets.
- 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
