Course Description: This course will provide you with a fundamental understanding of machine learning models (logistic regression, multi-layer perceptrons, convolutional neural networks, natural language processing, etc.) and show you how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction. Additionally, we have designed hands-on exercises that will give you real-world experience implementing these data science models on datasets. These hands-on exercises will teach you how to implement machine learning algorithms.

What You’ll Learn:

1. Logistic Regression: Learn the basics of classification through logistic regression, understanding how to predict binary outcomes based on input features.
2. Multi-layer Perceptrons: Understand the architecture and principles behind multi-layer perceptrons, the building blocks of deep learning, to grasp their ability to learn complex patterns in data.
3. Convolutional Neural Networks: Master the concepts of convolutional neural networks (CNNs), delving into their architecture and functionality to analyze visual data and extract meaningful features automatically.
4. Natural Language Processing: Dive into the world of natural language processing (NLP), exploring techniques to understand, interpret, and generate human language, ranging from sentiment analysis to machine translation. And much more…

Are you ready to embark on a journey into the world of Machine Learning? Enroll in our “Introduction to Machine Learning” course now, and let’s embark on this exciting adventure together.