Project Description
The Innovative Code Showcase is a dynamic and interactive platform designed to highlight the power of creativity, problem-solving, and technological advancements.
LET'S TALKStock Prediction
Tools: Python, Pandas, NumPy, scikit-learn, TensorFlow
Application Software: Jupyter Notebook
Developed a predictive model for stock price forecasting, focusing on enhancing the accuracy of market trend predictions.
Implemented machine learning algorithms such as linear regression and decision trees for time-series analysis, achieving a minimum prediction error of 10%.
Designed data preprocessing pipelines to clean and standardize input data, improving the model's reliability and performance.
Performed statistical analysis, including moving averages, to analyze historical stock data and identify significant market trends and patterns.
Predicting stock prices is not about forecasting the future; it’s about making decisions based on the analysis of historical patterns.
Adarsh Dubey
Data Analysis
Project Information
- Category: Data Analysis
- Associated with: Chhatrapati Shivaji Maharaj University
- Project date: October 2023 - November 2023
- Project URL: GitHub
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