Stock Market Prediction (Deep Learning Algorithms-neural networks with fine tuning and advanced optimization methods)

[ranamanish674zu]

Description

Stock Market Prediction (Deep Learning Algorithms-neural networks with fine tuning and advanced optimization methods) techniques- Neural net, early stopping and other optimization methods . Fixes #346 here are some neccessory library- import pandas as pd import numpy as np from sklearn.model_selection import train_test_split from sklearn.preprocessing import MinMaxScaler import tensorflow as tf from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense, Dropout from tensorflow.keras.optimizers import Adam from tensorflow.keras.callbacks import EarlyStopping, ModelCheckpoint

Type of change

• [ +] Added a new machine learning frameworks, libraries or software.
• [+ ] Documentation update

Checklist:

• [ +] My code follows the style guidelines of this project
• [+ ] I have performed a self-review of my own code
• [+ ] I have commented my code, particularly in hard-to-understand areas
• [+ ] I have made corresponding changes to the documentation
• [+ ] My changes generate no new warnings @sanjay-kv complete #346 please chake

[github-actions[bot]]

Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that your changes align with our CONTRIBUTING.md. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊

[sanjay-kv]

Why did you raise PR even before assigning?

[ranamanish674zu]

Why did you raise PR even before assigning?

sorry sir , but you have assigned and label it , then i raise the pull request

[ranamanish674zu]

Why did you raise PR even before assigning?

Why did you raise PR even before assigning?

sorry sir , but you have assigned and label it , then i raise the pull request

[sanjay-kv]

my bad