Machine-learning

This folder contains the implementation of several Machine learning algorithms in python, numpy and scikit.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
LInear_regression.ipynb		LInear_regression.ipynb
LOGISTIC_MULTICLASS.py.ipynb		LOGISTIC_MULTICLASS.py.ipynb
Machine Learning Mini-Project Report.pdf		Machine Learning Mini-Project Report.pdf
README.md		README.md
REPORT_LINEAR_REGRESSION.pdf		REPORT_LINEAR_REGRESSION.pdf
REPORT_MACHINE_LEARNING.odt		REPORT_MACHINE_LEARNING.odt
SNN.ipynb		SNN.ipynb
display_network.py		display_network.py
gradient.py		gradient.py
load_MNIST.py		load_MNIST.py
logistic_regression.py.ipynb		logistic_regression.py.ipynb
neuralNetwork.py		neuralNetwork.py
observation_softmax.pdf		observation_softmax.pdf
python_lamda.pdf		python_lamda.pdf
quantized_efficientDet.ipynb		quantized_efficientDet.ipynb
sample_images.py		sample_images.py
softmax_.py.ipynb		softmax_.py.ipynb
train.py		train.py

SauravRai/machine-learning