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Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
Mountains 101
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Build and evaluate a simple linear regression model to predict sales revenue based on advertising spending using Python, scikit-learn, pandas, and seaborn.
Learn to create, test, and share low-fidelity prototypes of digital products using Figma in this 2-3 hour Coursera Project Network course. Familiarity with UI/UX design principles required.
Learn to implement a sorting algorithm in Python, create tests, and debug code to enhance software reliability and efficiency.
Learn Docker basics: containerization, images, and creating custom containers. Hands-on practice with fundamental concepts for effective container management and deployment.
Learn to process and analyze data using Python's Pandas library, covering data reading, statistical analysis, and data cleaning techniques for various formats like XML, CSV, and JSON.
Learn ReactJS fundamentals, build a dynamic web app with functional components and hooks, and deploy it to Netlify in this hands-on project. Ideal for those with basic HTML/CSS knowledge.
Learn to build, train, and visualize a simple linear regression model in R to predict data scientist salaries based on years of experience. Gain practical skills in regression analysis and model interpretation.
Create a simple note-taking web app using PHP and MySQL. Learn to develop dynamic content, persist data, and build powerful web applications, opening career opportunities in back-end development.
Learn to create, train, and evaluate a neural network model for sentiment analysis of movie reviews using Keras and TensorFlow, classifying text as positive or negative.
Learn to deploy TensorFlow models using TensorFlow Serving and Docker, and create a web interface with Flask for model predictions. Gain hands-on experience in cloud-based environment.
Discover programming fundamentals through Java in a beginner-friendly, research-backed approach designed for rapid learning and enjoyment.
Learn the basics of Microsoft Excel with Coursera Project Network. This 1-2 hour course covers essential tools, formulas, and applications, including budgeting and data organization.
Analyze COVID-19 data to create a supply plan for PPE and ventilators across US states. Learn to extract data, build PivotTables, and create visualizations for effective reporting.
Explore relationships in breast cancer data using Seaborn. Practice feature selection, extraction methods, and build an XGBoost classifier for tumor classification.
Learn to design eye-catching infographics with Piktochart, communicating complex information effectively through visually appealing and shareable graphics for your business network.
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