madhurdevkota Goto Github PK

adopting-rnn-lstm-to-build-air-pollution-forecasting-deep-neural-network-models

Adopting Recurrent Neural Network, Long-Short Term Model to build Air pollution forecasting Deep Neural Network

advanced-lstm-models-for-timeseries

air_pollution_forecasting

amazon-denseclus

Clustering for mixed-type data

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

analyzing-cnn-learning-process

Mastering Image Classification with Advanced CNN Techniques in Keras: A Deep Dive into Network Architectures and Performance Enhancement Strategies

articles-datasets

catboost

Catboost model implementation

catboost-tutorial

A small tutorial to demonstrate the power of CatBoost Algorithm

cnn_notes

Building CNN

convolutional-neural-networks---deeplearning.ai-coursera-andrew-ng

creditcard_frauddetection

Credit Card Fraud Detection models using Machine Learning and Deep Learning on a PCA-transformed dataset. Addressing class imbalance, the models include ensemble methods and a Deep Neural Network (DNN), evaluated with standard metrics. Ensuring robust fraud detection through comprehensive preprocessing and balanced sampling.

datascience-notebook

basic to advanced datascience manipulation functions and techniques in pandas

datascience_notebook

Datascience notebook usage personal notes

dataviz-notebook

DataViz-Python-Notebook

dbcv

Python implementation of Density-Based Clustering Validation

deep-learning

neural network models

deep-learning-exercise-notebook

Andrew Ng深度学习Jupyter Notebook (Exercise notebooks for Deep Learning)

deep-learning-weather-forecast

Multivariate time series forecasting that aims to predict the next hour's weather forecast based on the previous 24 hour window. Final deep learning project for CSC 578 (Neural Networks and Deep Learning). Base model consisted of a recurrent neural network (RNN) with a single LSTM layer, followed by hyperparameter tuning and variations in depth intended to achieve a closer fit to the data.

deep-neural-network-modeling-for-civilengineering-problem

Deep Neural Network modeling for CivilEngineering problem

deeplearning-notebook

DeepLearning-Python-Notebook

geopandas

GitHub Pages for Automating GIS-processes

hdbscan_paper

Source files and notebooks for a paper on accelerating HDBSCAN*

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

imputation-techniques---climatetrace-dataset

experimenting with several imputation techniques

json

Create, Send, Transform JSON Data

keras-resnet-tutorial

lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

machine-learning

various models developed using different machine learning algorithms

machine-learning-deep-learning-implementations

adopted multiple ML models using python libraries