线性回归
回归算法.pdf
1.2MB
线性回归-代码实现
data
mnist-demo.csv
17.43MB
non-linear-regression-x-y.csv
4KB
world-happiness-report-2017.csv
29KB
fashion-mnist-demo.csv
10.57MB
microchips-tests.csv
2KB
iris.csv
4KB
server-operational-params.csv
11KB
utils
__init__.py
0B
features
__init__.py
232B
normalize.py
544B
generate_polynomials.py
1KB
prepare_for_training.py
1KB
__pycache__
normalize.cpython-36.pyc
522B
generate_sinusoids.cpython-36.pyc
531B
__init__.cpython-36.pyc
355B
generate_polynomials.cpython-36.pyc
1KB
prepare_for_training.cpython-36.pyc
904B
generate_sinusoids.py
388B
hypothesis
__init__.py
116B
sigmoid_gradient.py
218B
__pycache__
sigmoid.cpython-36.pyc
376B
sigmoid_gradient.cpython-36.pyc
428B
__init__.cpython-36.pyc
269B
sigmoid.py
155B
__pycache__
__init__.cpython-36.pyc
140B
LinearRegression
temp-plot.html
2.87MB
Non-linearRegression.py
1KB
MultivariateLinearRegression.py
3KB
linear_regression.py
3KB
__pycache__
Non-linearRegression.cpython-36.pyc
1KB
linear_regression.cpython-36.pyc
3KB
UnivariateLinearRegression.py
2KB
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