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StockWise: Unlocking Seasonal Stock Trends with Data Science StockWise is a data-driven stock market research startup focused on identifying seasonal stocks—stocks that consistently exhibit 20-30% price movements in specific months over a decade or

StockWise: AI-Driven Seasonal Stock Analysis I am Harshwardhan Singh, and my startup, StockWise, focuses on identifying seasonal stock movements—stocks that consistently move 20-30% in specific months every year using AI and data science. Example:

Are there any data scientists here? What new ways are you using large language models (LLMs) in your everyday tasks? Do you think we should include LLM topics in data science courses? If so, what should we focus on teaching? For example: - The bas

How to make real time stock market data processing pipeline using AWS Lambda and kinesis

Day 1 of learning Data Science as a beginner. Topic: data science life cycle and reading a json file data dump. What is data science life cycle? The data science lifecycle is the structured process of extracting useful actionable insights from raw

The data science and analytics industry is expected to reach $3.03 billion in 2024, with over 72,000 data science job openings.

Data Science Vs Software Development Vs Cyber Security Which holds the future?

A Japanese showerhead maker called Science Co. is planning to debut what it's calling the "human washing machine of the future" at the Osaka Kansai Expo in April 2025.

Many argue that Data Engineering is a part of data science and analytics. It's different from data science, but they work together closely. Data Engineers come first in the process. They gather and organize data. This data is then used by Data Scien