This is a tutorial that analyzes stock prices on the S&P 500 and predicts stock prices using Long Short-Term Memory modeling. As part of this process, the entire data science pipeline is followed:
- Data Collection
- Data Processing
- Exploratory Data Analysis and Data Visualization
- Data Analysis, Hypothesis Testing, and Machine Learning
- Insights
Please refer to the following link to view the Jupyter notebook: https://melvinrajendran.github.io/SP500-Stock-Price-Analysis/. Within this notebook are our code, outputs, and prose descriptions outlining our process and rationale.