Predictive Analytics with ML & DL
Harness the power of machine and deep learning to predict trends and outcomes. Build future-proof models for real-world challenges.
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Contact our teamWhat will you learn?
Dive deep into the world of predictive analytics using machine and deep learning. This course equips you with the skills to build models that forecast future trends, automate predictions, and provide actionable insights. You will explore core ML techniques like linear regression and decision trees, while also working with advanced DL approaches like LSTMs and CNNs. Hands-on projects will solidify your learning and prepare you to tackle real-world challenges in industries such as finance, marketing, and operations.
Key takeaways
- Master ML and DL predictive techniques
- Build real-world predictive models
- Analyze datasets for actionable insights
- Learn advanced evaluation metrics
- Explore business use cases for AI
Program
- Predictive Modeling with ML: Learn linear regression, decision trees, and random forests for forecasting.
- Deep Learning for Prediction: Understand LSTM, RNNs, and CNNs for advanced predictions.
- Model Evaluation: Master accuracy, precision, and recall to validate your models.
- Business Use Cases: Apply predictive analytics to real-world scenarios like customer churn and maintenance.
- Hands-on Projects: Build and deploy predictive models with real datasets.
Who is it for?
This training is designed for data scientists, analysts, and AI enthusiasts who want to expand their expertise in predictive modeling and apply it to real-world business challenges.
Requirements
Basic knowledge of the topic is beneficial.
Why should I do this training?
Hands-on learning
Build predictive models.
Business relevance
Apply to real-world use cases.
Career advancement
Gain sought-after analytics skills.
What does it look like?
What else
should I know?
After registering, you will receive a confirmation email with practical information.
See you soon!
Course information
Available remotely or in-person
Suitable for beginner to advanced developers
Duration: 12-14 hours
Industry-aligned projects
Covers both ML and DL techniques
Ideal for upskilling in AI and analytics
