DebanandaPaswan

AprioriAlgorithm_python

LogisticRegression_python

Concept of Logistic Regression, implementation using python sciki-learn, deployment techniques and feature importance.

MachineLearning

This repository contains machine learning models. ( Supervised, Unsupervised and RL models).

Model_Selection

How to select best model among tuned model ?

multi_label_classifier

NLP_Sentimental_Analysis_Model

SVD_and_its_Applications

Singular Value Decomposition: Concept and its Applications.

tensorflow_2.0

TimeSeries

Complete code guide for Time Series Forcasting. Methods used are Linear Regression, Naive Method, Exponential Smoothing family and Arima family.

DebanandaPaswan/AprioriAlgorithm_python

DebanandaPaswan/LogisticRegression_python

Concept of Logistic Regression, implementation using python sciki-learn, deployment techniques and feature importance.

DebanandaPaswan/MachineLearning

This repository contains machine learning models. ( Supervised, Unsupervised and RL models).

DebanandaPaswan/Model_Selection

How to select best model among tuned model ?

DebanandaPaswan/multi_label_classifier

DebanandaPaswan/NLP_Sentimental_Analysis_Model

DebanandaPaswan/SVD_and_its_Applications

Singular Value Decomposition: Concept and its Applications.

DebanandaPaswan/tensorflow_2.0

DebanandaPaswan/TimeSeries

Complete code guide for Time Series Forcasting. Methods used are Linear Regression, Naive Method, Exponential Smoothing family and Arima family.