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1. graphs-and-trees graphs-and-trees Public

   This is a collection of my attempts to implement tree and graph algorithms

   Python 1

2. Question-Answering-system- Question-Answering-system- Public

   Forked from pushpendrapratap/Question-Answering-system-

   It uses extensive NLP and ML techniques at its backend for answering descriptive type queries ( currently, the model has been trained only for Data science and Machine Learning Domain ).

   Jupyter Notebook 1 1

3. Deep_neural_network Deep_neural_network Public

   This is an attempt to implement a deep neural network with 3 hidden layers.

   Python 1

4. linked_list linked_list Public

   Linked list, Doubly linked,Circular linked list explained through the use of python object oriented programming.

   Python

5. Digit-Recognition-using-machine-learning Digit-Recognition-using-machine-learning Public

   A Digit Recognition system using supervised learning.

   Jupyter Notebook

6. KMeans-Algorithm KMeans-Algorithm Public

   Here I have uploaded two programmes, the first one named KMeans uses the sklearn library to implement a KMeans algorithm.Kmeans_scratch is implementation of kmeans from scratch.

   Jupyter Notebook 1