Is your feature request related to a problem? Please describe.
This project aims to predict the stock prices of Netflix using various machine learning techniques. Historical stock data is utilized to train models that can forecast future stock prices.
Describe the solution you'd like
Models Used
Various machine learning models are explored for stock prediction, including:
Linear Regression
Support Vector Machines (SVM)
Random Forest
Gradient Boosting
Each model is evaluated based on its performance metrics and suitability for the stock prediction task.
Evaluation Metrics
The models are evaluated using metrics such as:
Mean Squared Error (MSE)
Root Mean Squared Error (RMSE)
Mean Absolute Error (MAE)
R-squared (R²) score
Describe alternatives you've considered
A clear and concise description of any alternative solutions or features you've considered.
Additional context
Add any other context or screenshots about the feature request here.
Is your feature request related to a problem? Please describe. This project aims to predict the stock prices of Netflix using various machine learning techniques. Historical stock data is utilized to train models that can forecast future stock prices.
Describe the solution you'd like Models Used
Various machine learning models are explored for stock prediction, including:
Each model is evaluated based on its performance metrics and suitability for the stock prediction task.
Evaluation Metrics
The models are evaluated using metrics such as:
Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.
Additional context Add any other context or screenshots about the feature request here.