This is a simple jupyter notebook for stock price prediction. As a model I've used the linear, ridge and lasso model. Analysis, a development of insights and a training of a prediction model for ...
Lemonade uses AI and machine learning to build a better, cheaper insurance model. Its loss ratio has come down significantly. Management is projecting positive adjusted EBITDA this year. Lemonade was ...
Shares of Amazon.com Inc. (NASDAQ: AMZN) was flat over the past five trading sessions after losing 2.96% the five prior. Despite having turned a corner after struggling for most of 2025, Amazon was ...
Palantir (NASDAQ: PLTR) remains one of the most closely followed artificial intelligence stocks heading into 2026 as investor focus turns to the company’s commercial expansion and rising enterprise AI ...
Gestational diabetes mellitus (GDM), a prevalent metabolic disorder associated with pregnancy, which often postpones intervention until after metabolic complications have developed. This study seeks ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
Advanced Micro Devices (NASDAQ: AMD) exploded on Monday, October 6, after the company announced a new partnership with OpenAI. As part of the deal, OpenAI will deploy up to 6 gigawatts (GW) of AMD ...
With its new Alphabet partnership, the company will become the primary payments processor for a number of Google products. The two companies will also work to create "agentic commerce." This ...
ABSTRACT: Stock markets are notoriously complex and volatile, which makes accurate price prediction a necessity for investor decision-making, risk mitigation, and profitability. This study develops ...
Comparative Analysis of Credit Card Approval Prediction Using Machine Learning in Python and PySpark
Abstract: Over the past few years, using intelligent financial systems has become especially important for assessing credit risks. This study compares the predictive capabilities of Python and PySpark ...
Stock markets are notoriously complex and volatile, which makes accurate price prediction a necessity for investor decision-making, risk mitigation, and profitability. This study develops and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results