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Duration 21 hours
Course Outline
Introduction
- Defining the scope of Predictive AI
- The history and development of predictive analytics
- Fundamentals of machine learning and data mining
Data Collection and Preprocessing
- Strategies for gathering relevant data
- Methods for cleaning and preparing data for analysis
- Recognizing different data types and their sources
Exploratory Data Analysis (EDA)
- Using visualization to gain insights
- Applying descriptive statistics for data summarization
- Detecting patterns and correlations within the data
Statistical Modeling
- Foundations of statistical inference
- Techniques in regression analysis
- Building classification models
Machine Learning Algorithms for Prediction
- An overview of supervised learning algorithms
- Implementing decision trees and random forests
- Basics of neural networks and deep learning
Model Evaluation and Selection
- Interpreting model accuracy and performance metrics
- Utilizing cross-validation techniques
- Managing overfitting and model tuning
Practical Applications of Predictive AI
- Case studies from diverse industries
- Ethical implications of predictive modeling
- Addressing the limitations and challenges of Predictive AI
Hands-On Project
- Using a dataset to develop a predictive model
- Applying the model to generate predictions
- Analyzing and interpreting the final results
Requirements
- A solid grasp of basic statistical concepts.
- Hands-on experience with at least one programming language.
- Proficiency in managing data and working with spreadsheets.
- No previous background in AI or data science is necessary.
Target Audience
- IT professionals.
- 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
