NehaPant14

Loan-Prediction

Loan Prediction using Classification Techniques

CEEMDAN-LSTM

Decision-Tree-Classifier-using-Logistic-Regression

Decision Tree classifier using Logistic Regression

Density-based-clustering

Density based clustering

Income_cluster_analysis

Link-analysis-of-real-world-directed-network-dataset

Link analysis of real-world directed network dataset

code

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Deep-Learning-For-Hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Surface-Water-Quality-Data-Anomaly-Detection

Surface water quality data analysis and prediction of Potomac River, West Virginia, USA. Using time series forecasting, and anomaly detection : ARIMA, SARIMA, Isolation Forest, OCSVM and Gaussian Distribution

telemanom

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

tf-levenberg-marquardt

Tensorflow implementation of Levenberg-Marquardt training algorithm

Water-Anomaly-Detection-WAD-Autoencoder

The identification of water that is fit for consumption and usage has proven to be a challenge. The parameters of water that are analyzed are typically Temperature, pH, turbidity, SAC etc.To develop an event detector to accurately predict changes in a time series of drinking water composition data, we selected the AE and RBM .