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Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
Mountains 101
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Predict university admission chances using regression models. Analyze student profiles, visualize data, and compare different algorithms to determine acceptance probability.
Learn to work with relational databases in SQL Server Management Studio. Create diagrams, run SELECT and CREATE TABLE commands, and understand basic database terminology for future SQL Server classes.
Learn to build, train, and evaluate a neural network for classifying clothing images using Keras and TensorFlow in R, with hands-on practice using the Fashion MNIST dataset.
Learn to build and train a bidirectional LSTM neural network model using Keras API with TensorFlow in this 1-hour project-based course by Coursera. Ideal for North American learners.
Create interactive web animations for storytelling, data visualization, and simple games using HTML, CSS, and JavaScript (ES6).
Learn to create informative dashboards using Power BI on Coursera Project Network. Gain skills in data modeling, report building, and visual data summarization.
Implement DCGAN to generate synthetic images, exploring network structure and training process. Hands-on project using Python, Jupyter, and TensorFlow to create deepfake-like content from MNIST dataset.
Learn to detect facial key-points using CNNs and Residual Networks. Build, train, and evaluate a deep learning model for emotion and expression recognition in images.
Learn to create and train a CNN using MobileNet architecture and pre-trained weights, drastically reducing training time for image classification tasks through transfer learning techniques.
Gain hands-on experience with Google Firebase, learning to create and build web applications. Ideal for those with HTML, CSS, and JavaScript knowledge looking to develop multi-platform apps.
Learn to classify languages using Naive Bayes in Python, addressing data preprocessing, class imbalance, and advanced techniques like subword units for improved model performance.
Learn to analyze stock data using R and Quantmod, including data retrieval, analytics, and financial risk assessment for informed investment decisions.
Learn API testing with JMeter: send HTTP requests, add variables and assertions, understand JSON format. Hands-on exercises cover GET, POST, PUT, DELETE methods for efficient backend testing.
Gain hands-on experience with 7 essential JavaScript topics, elevating your competency to solve real-world problems. Perfect for those with basic JavaScript, HTML, CSS, and OOP knowledge.
Learn to implement Support Vector Machine classification in Python, covering theory, practical applications, and visualization techniques for supervised learning problems.
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