Recognizing Handwritten Digits

2 hours

10 chapters

Advanced

In this project, our primary objective will be to delve into the identification of handwritten digits through the application of machine learning algorithms. This endeavor aims to harness the power of machine learning to effectively interpret and understand handwritten digits, showcasing the potential of these algorithms in processing and analyzing complex visual information.

View details

ML Introduction with scikit-learn

4 hours

33 chapters

Intermediate

Machine Learning is now used everywhere. Want to learn it yourself? This course is an introduction to the world of Machine learning for you to learn basic concepts, work with Scikit-learn – the most popular library for ML and build your first Machine Learning project. This course is intended for students with a basic knowledge of Python, Pandas, and Numpy.

View details

Introduction to NLP

4 hours

24 chapters

Advanced

Let's explore the fundamentals of Natural Language Processing (NLP) as you delve into text preprocessing techniques and various text models used to represent text data. You will gain practical insights and hands-on experience with the tools and methods essential for analyzing and interpreting textual data effectively. This course equips you with the skills to transform raw text into meaningful information, paving the way for advanced applications in AI and machine learning.

View details

Image Synthesis Through Generative Networks

3 hours

19 chapters

Advanced

Discover the artistry behind image generation using generative networks in our course. From theory to practice, delve into the world of generative networks, unlocking the secrets to crafting captivating images from data.

View details

Classification with Python

4 hours

28 chapters

Intermediate

In machine learning, classification is used in predictive modeling to assign input data with a class label. Sounds difficult? Don't worry! Let's cope with this! Welcome to the ML!

View details

Cluster Analysis

2 hours

14 chapters

Intermediate

Clustering is one of the fundamental machine learning techniques that allows you to solve many complex problems in real life: market segmentation, anomaly detection, dimensionality reduction, revealing hidden patterns, etc.

View details

Ensemble Learning

4 hours

22 chapters

Advanced

Ensemble Learning is an advanced machine learning technique that combines multiple models to improve overall predictive performance and decision-making when solving real-life tasks.

View details

Logistic Regression Mastering

1 hour

6 chapters

Advanced

Logistic regression is a statistical method for analyzing a dataset in which there are one or more independent variables that determine an outcome. In this project, we will leverage logistic regression to classify data into two distinct categories. The process will involve data preprocessing, model training, evaluation, and tuning to achieve optimal performance.

View details