?? A Data Project Challenge by NeuroTrade: Prediction of Stock Price Direction

Are you ready to test your data science skills on a real-world problem? We’re excited to share a new hard-level project from NeuroTrade that challenges you to predict the stock price direction of Amazon.com, Inc. (AMZN). It’s a perfect opportunity to sharpen your predictive modeling skills.

Skills You’ll Master:

By completing this project, you will sharpen your skills in the following areas:

• Data Exploration: Learn to perform exploratory data analysis (EDA) and identify key features using Python libraries like Pandas and Matplotlib.
• Data Engineering: Gain experience in creating target variables, calculating moving averages, and generating new features for model input.
• Model Building: Enhance your understanding of various machine learning algorithms, including Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, and Neural Networks using TensorFlow.
• Model Evaluation: Develop proficiency in evaluating models using metrics such as AUC and plotting ROC curves to assess performance.
• Reproducibility: Practice setting random seeds for reproducibility and utilizing callbacks like early stopping and learning rate scheduling in TensorFlow.
• Visualization: Improve your ability to visualize training history and performance using Matplotlib.

Take the challenge →

Latest News in Data Science

Keeping up with the latest developments in the data science industry is crucial to staying ahead of the curve. Here are some recent articles that offer valuable insights:

1. Unlocking AI's Potential for Nonprofits Requires Data Transformation First Nonprofits are increasingly looking to harness AI's potential, but a solid data foundation is critical. This article discusses the importance of data transformation in enabling AI-driven solutions for nonprofits. Read more
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