Saikrishna 's repositories
Bankruptcy-Prevention-Project
Bankruptcy Prevention Classification Project
Batch-Gradient-Descent-Model
Batch Gradient Descent Model for Neural Networks
Branching
Branching Tutorials
End-To-End-NLP-Project
End-To-End NLP Project Implementation
Hyperparameter-Tuning-Techniques
Hyperparameter Tuning Techniques for Neural Network Classification Model
Image-Processing-Using-PIL-Library
Image Processing Using PIL Library For Convolution Neural Network
Layers-Experiment-In-Neural-Network
Layers Experiment In Neural Network
Learning-Rate
Learning Rate Experiment in Classification Neural Network Model
LeNet-5-Architecture
Image Classification Using LeNet-5 Architecture for Convolution Neural Network
LSTM-Bidirectional-RNN-Model
Classification Model Using LSTM Model
Machine-Learning-Project-with-MLflow
End-To-End Machine Learning Project with MLflow
MAE-MSE-Loss-Functions
Comparing Loss Functions for both MAE & MSE in Regression Model
Mean-Absolute-Error
Mean Absolute Error Loss Function For Regression Model
Mean-Squared-Error
Mean Squared Error Loss Function For Regression Model
Mini-Batch-Gradient-Descent-Model
Mini-Batch Gradient Descent Model for Neural Networks
MSE-MSLE-Loss-Functions
Comparing Loss Functions for both Mean Squared Error & Mean Squared Logarithmic Error
Music-Recommendation-System-Project
Data Science/Machine Learning Project
Name-Entity-Recognition
Emotion Mining In Name Entity Recognition For NLP
NLP-Text-Summarization-Project
End To End NLP Text Summarization Project
Optimizers
Optimizers for Neural Network Classification Model
saikrishnabudi
Config files for my GitHub profile.
Stochastic-Gradient-Descent-Model
Stochastic Gradient Descent Model for Neural Networks
Text-Summarization-Project
End To End NLP Text Summarization Project Using Hugging Face & Transformers
Tokenization-Using-NLTK-Library
Natural Language Process For Tokenizing The Data Using NLTK Library
VGG16-Architecture
Image Classification Using VGG16 Architecture For Convolution Neural Network
Word2Vec-Model-Implementation
Building & Implementing the Spam Classification Dataset using the Word2Vec Method