Machine learning courses
About Machine learning
Machine learning is an increasingly hot field of data science dedicated to enabling computers to learn from data. From spam filtering in social networks to computer vision for self-driving cars, the potential applications of Machine Learning are vast.
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- Portfolio projectAI • Machine learning • Python
PyTorch Portfolio Project
Create a data science portfolio project to demonstrate your technical skills in building and training neural networks with PyTorch.Independent,Portfolio Ready - Practice projectMachine learning • AI • Data science
Pet Image Classification and Detection with Transformers
Use transformers to fine-tune a vision transfomer (ViT) for image classification and evaluate an object detection model (e.g., DETR) on the Oxford-IIIT Pet Dataset.More guidance, - Practice projectData science • Machine learning • AI • Python
Classifying Microscopic Histopathology Images with PyTorch
Train and evaluate a CNN to detect tumors in histopathological scans from the PatchCamelyon dataset.More guidance, 45 min - Practice projectData science • AI • Machine learning • Python
Explainable AI in Employee Attrition Prediction
Predicting employee attrition is challenging for HR departments, as it helps organizations retain valuable talent and reduce turnover costs. However, AI models used in such decisions must be transparent and interpretable, ensuring that HR professionals can trust and understand the predictions. In this project, we will use the IBM HR Analytics Employee Attrition Dataset to predict whether an employee will likely leave the company. We will train different machine learning models and apply Explainable AI (XAI) techniques to interpret their predictions. By the end of this project, we will have a fully interpretable pipeline that can help HR professionals make informed, fair, and data-driven decisions regarding employee retention.More guidance,
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- Article
Scikit-Learn Tutorial: Python Machine Learning Model Building
Learn how to build powerful machine learning models with scikit-learn in Python. Master essential techniques from installation to implementation with practical examples and comparisons. - Article
What is One Hot Encoding and How to Implement it in Python?
Learn how one-hot encoding works and how to implement it with Pandas and Scikit-learn modules in Python. - Article
Decision Trees for Classification and Regression
Learn about decision trees, how they work and how they can be used for classification and regression tasks. - Article
Feature Importance
Learn about feature importance and how to calculate it.