Task for The Sparks Foundation

Data Science and Business Analytics

Stock Market Prediction using Numerical and Textual Analysis (Task 7)

- By Sabyasachi Seal

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Packages Used:

• Math
• Numpy
• Pandas
• Matplotlib
• Keras
• SciKit Learn

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Models Made:

• Logistic Regression Model
• Random Forest Model
• Decision Tree Model
• Linear Discriminant Model
• AdaBoost Model
• Gradient Boosting Model

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In the end, we can see that Gradient Boosting Model has the highest accuracy as compared to all other models. Gradient Boosting Model performs better on Analysis and prediction of Stock price/performance than the other 5 Neural Network Models.

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Youtube Explanation