ianmcloughlin's
repositories
|
anova.ipynb
|
anscombe.ipynb
|
balanced_or_constant.ipynb
|
bayes.ipynb
|
best-fit-lines.ipynb
|
bias.ipynb
|
circuits.ipynb
|
classical-bits.ipynb
|
coin-flip.ipynb
|
complex_numbers.ipynb
|
countdown_numbers.ipynb
|
data-types.ipynb
|
datasets.ipynb
|
decision-problems.ipynb
|
deutsch-jozsa-analysis.ipynb
|
deutsch-jozsa.ipynb
|
deutsch.ipynb
|
function-plots.ipynb
|
functional-functions.ipynb
|
generating-data-sets.ipynb
|
gradient-descent.ipynb
|
graph_isomorphism.ipynb
|
heap-sort.ipynb
|
history-of-ai.ipynb
|
infinities.ipynb
|
information.ipynb
|
iris-classification.ipynb
|
keras-and-iris.ipynb
|
keras-linear.ipynb
|
keras-neurons.ipynb
|
kmeans-examples.ipynb
|
lady-tasting-tea.ipynb
|
learning.ipynb
|
linear-regression-derived.ipynb
|
mnist.ipynb
|
models.ipynb
|
monty-hall.ipynb
|
neuron-class.ipynb
|
numpy-neural-networks.ipynb
|
numpy.ipynb
|
optimisation.ipynb
|
pandas-with-iris.ipynb
|
permutations.ipynb
|
playing-with-neurons.ipynb
|
playing-with-numpy-mnist.ipynb
|
plot-examples.ipynb
|
plots-animations.ipynb
|
post-correspondence.ipynb
|
preprocessing.ipynb
|
python-fundamentals.ipynb
|
qiskit_circuits.ipynb
|
random-variables.ipynb
|
random_values.ipynb
|
regex.ipynb
|
regression.ipynb
|
roughwork.ipynb
|
showcase.ipynb
|
simple-linear-regression.ipynb
|
simpsons.ipynb
|
sqlite.ipynb
|
square-roots.ipynb
|
stochasticism.ipynb
|
tensorflow-getting-started.ipynb
|
tf-old-faithful.ipynb
|
time-series.ipynb
|
ttest.ipynb
|
win-a-car.ipynb
|
.gitignore
|
LICENSE
|
README.md
|
requirements.txt
|