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Gathered multiple pdfs regarding interview questions on machine learning and deep learning
81 20
Finding the named entities from the sentences of telugu language trained the model using Googles BERT.
Jupyter Notebook 2 2
In this repository you can find the face attributes such as age, gender, eyes open or closed, smiling or not and wearing glasses or not.
Jupyter Notebook 1 1
In this repository we used the yolov3 model which is used in predicting nearly 80 different objects from given input images with in less time.
Python 1
program to convert a xml file in to an csv(text file)
Java
Forked from prasun1/Multi-Class-Classification-Machine-Learning-problem-
Established supervised machine learning multi-classification algorithm to solve Iris Flower dataset problem using Python. Libraries used: scipy, numpy, matplotib, pandas, sklearn
Python
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