Showing 14269–14280 of 18767 results
Practicing Test Driven Development with Python
Learn Test Driven Development (TDD) with Python. Write tests before the code to ensure robust, maintainable applications with high code quality.
Pragmatic Unit Testing in Java 8 with JUnit
Discover best practices for unit testing in Java 8 using JUnit, focusing on creating reliable and maintainable test cases.
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 2024 US Election with EDA & Machine Learning
Explore exploratory data analysis (EDA) and machine learning techniques to predict the outcome of the 2024 US Election. Learn how to clean, analyze, and visualize electoral data, then build models to make predictions using machine learning.
Predict basketball player efficiency ratings by using machine learning and Visual Studio Code
By using anonymized data from real and animated basketball players in the upcoming film Space Jam: A New Legacy, create a machine learning model to cleanse data to be used during games. Also explore bimodal data distributions by using Python in Visual Studio Code.
Predict Bitcoin Close Prices using Foundational Models
Learn how to predict Bitcoin’s closing prices using foundational machine learning models. Understand the basics of time series forecasting and apply regression models to forecast cryptocurrency trends and investment opportunities.
Predict credit defaults with random forest using Python
Learn how to predict credit defaults using the Random Forest algorithm in Python. Understand the data preprocessing steps, model training, and evaluation techniques that make Random Forest a powerful tool for financial risk analysis.
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 meteor showers by using Python and Visual Studio Code
Learn how to use concepts from machine learning to predict the occurrence of meteor showers (or Moon Goddess tears).
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.