artificial-neural-network

Artificial Neural Network using PyTorch & Keras Libraries

association-rules

Data Science - Association Rules Work

bankruptcy-prevention-project

Bankruptcy Prevention Classification Project

basic-statistics-level-1

Data Science - Statistics Work Level-1

basic-statistics-level-2

Data Science - Statistics Work Level-2

batch-gradient-descent-model

Batch Gradient Descent Model for Neural Networks

branching

Branching Tutorials

clustering

Data Science - Clustering Work

decision-trees

Data Science - Decision Trees Work

end-to-end-nlp-project

End-To-End NLP Project Implementation

forecasting

Data Science - Forecasting

hyperparameter-tuning-techniques

Hyperparameter Tuning Techniques for Neural Network Classification Model

hypothesis-testing

Data Science - Hypothesis Testing Work

image-processing-using-pil-library

Image Processing Using PIL Library For Convolution Neural Network

k-nearest-neighbour-knn

Data Science - K-Nearest Neighbors (KNN) Work

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

logistic-regression

Data Science - Logistic Regression Work

lstm-bidirectional-rnn-model

Classification Model Using LSTM Model

machine-learning-project

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

ml_ops

mlops

mse-msle-loss-functions

Comparing Loss Functions for both Mean Squared Error & Mean Squared Logarithmic Error

multi-linear-regression

Data Science - Multi Linear Regression Work