Showing 3037–3048 of 4028 results
Practical Data Analysis with SQL
Learn how to use SQL to perform fast and efficient data analysis
Practical Guide to Neural Network Training: Working with Leading Frameworks
Today’s deep learning frameworks make it easier than ever to work with neural networks. This course will teach you how to efficiently build and train a neural network, while evaluating and addressing some common challenges.
Practical HTML5
HTML5 has been around now for some time. But how do you get your head around all that comes with it? The answer is by doing. In this Practical HTML5 course, you can do exactly that by building a site from scratch, adding new HTML5, CSS3, and JavaScript features. The end result is a deeper understanding of how the various building blocks work together, and you'll have a working site as well!
Practical MVVM
Learn how to apply the MVVM pattern in a hands-on way.
Practical Redux
Learn practical approaches to using Redux for state management in JavaScript applications, focusing on real-world examples.
Practical Redux
Learn practical applications of Redux for state management in JavaScript applications, focusing on best practices and real-world scenarios.
Practical Strategies to Boost Your Productivity and Avoid Burnout
This course will teach you strategies to maximize your productivity while staying energized and avoiding burnout.
Precise Predictions: Classification for Flower and Tumors
Master classification techniques for precise predictions, including classifying flowers and detecting tumors. Learn how to apply machine learning models like logistic regression, SVM, and decision trees for accurate predictions.
Predict house prices with regression algorithms and sklearn
Learn how to predict house prices using regression algorithms in Python with Scikit-learn. Discover the power of linear regression, decision trees, and other models to build accurate predictive models for real estate and housing markets.
Predict payment defaults using SVM with Python
Learn how to predict payment defaults using Support Vector Machines (SVM) in Python. Understand how to preprocess financial data, train SVM models, and assess their effectiveness in predicting customer behavior in the finance industry.
Predict Sea-Rise Risks with Geospatial APIs
Learn how to predict sea-rise risks using geospatial APIs. Understand how to work with geospatial data to model sea level rise, assess flood risks, and make informed decisions about climate change impact and disaster preparedness.
Predict stock prices with LSTM in PyTorch
Dive into predicting stock prices using Long Short-Term Memory (LSTM) networks in PyTorch. Learn how to build and train LSTM models to analyze time series data and predict future stock market trends with deep learning.