Python ML & AI Bootcamp: 1 Day Practical Workshop in New York, NY

Save 10% when registering 3 or more participants
Save 15% when registering 10 or more participants

Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session

The Machine Learning & AI in Python course empowers you to understand, build, and evaluate predictive models using Python. You will learn the fundamentals of supervised and unsupervised learning, model evaluation metrics, feature engineering, and get a glimpse into neural networks and deep learning. With practical hands-on exercises, this course prepares you to transition from theory to real-world machine learning applications.

By the end of this course, you will:

• Understand core machine learning concepts and workflows
• Build supervised and unsupervised models using scikit-learn
• Evaluate model performance using appropriate metrics
• Apply feature engineering techniques to improve predictions
• Gain basic knowledge of neural networks and deep learning
• Use Python for real-world AI and ML problem-solving

Data scientists, ML engineers, developers, and advanced Python users.

If you’re looking to take your Python programming skills into the realm of machine learning, this course is ideal. With a strong focus on applied learning and best practices, you’ll build models and analyze datasets that mirror real-world challenges. Our experienced instructors make complex concepts like algorithms and neural networks accessible through hands-on examples. This course helps you build confidence in working with machine learning tools and prepares you for advanced AI workflows.

©2025 Mangates Tech Solutions Pvt Ltd. This content is protected by copyright law. Copy or Reproduction without permission is prohibited.

Know a team or professional who could benefit from our workshops? Refer them and earn attractive royalties for every successful registration.

For royalty-related queries, contact b3JkZXJzIHwgbWFuZ2F0ZXMgISBjb20=

Looking to enhance your team's AI and machine learning capabilities?

We offer tailored in-house training sessions designed to fit your organization’s specific learning needs. Want your developers to build predictive models or enrich your team’s data expertise? Let us customize a course that aligns with your business goals and projects.

📧 Contact us today to schedule a customized in-house session:

Info:

• What is machine learning and AI?

• Role of Python in ML and AI

• Overview of ML workflow

• Activity

Info:

• Regression vs classification

• Building basic linear and logistic models

• Using scikit-learn for model implementation

• Activity

Info:

• Clustering basics

• K-means and hierarchical clustering

• Use cases for dimensionality reduction (PCA)

• Case Study

Info:

• Splitting datasets: train-test-validation

• Accuracy, precision, recall, F1-score, confusion matrix

• Cross-validation and tuning

• Activity

Info:

• Handling missing data and outliers

• Feature scaling and encoding

• Feature selection techniques

• Activity

Info:

• Understanding neurons and layers

• Basics of perceptrons and activation functions

• Overview of backpropagation

• Activity

Info:

• Understanding deep networks

• Brief intro to TensorFlow and Keras

• Practical examples in image and text processing

• Case Study

Info:

• Build a simple predictive model end-to-end

• Train, test, evaluate, and optimize

• Present insights and findings

• Activity

Also check out other Workshops in New York.