santara / ml-mooc-nptel

This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.

ML-MOOC-NPTEL

This repository contains the Tutorials for the NPTEL MOOC on Machine Learning.

Pro Tip:

Thanks to Google, you can run these notebooks directly on Google Colaboratory using CPU/GPU/TPU runtimes by replacing https://github.com in the URL by https://colab.research.google.com/github/. No local installation of Python is required. Best part - its FREE!! More detailed instructions are avilable at this link. Enjoy!

PS:

I wrote this repository in 2016. It's great to see people finding this useful even in 2019!! Please consider hitting the Star button at the top right hand side of the window if you liked my work. Thank you for your support!

ml-mooc-nptel's Issues

ValueError: Masked arrays must be 1-D

In Logistic Regression section of the code

Prepare data code cell

for the following line the below mentioned error occurs
plt.scatter(X_class0[:,0], X_class0[:,1],color='red')

---

ValueError Traceback (most recent call last)
in ()
27 Y_class1 = np.ones((X_class1.shape[0]),dtype=np.int)
28
---> 29 plt.scatter(X_class0[:,0], X_class0[:,1],color='red')
30 plt.scatter(X_class1[:,0], X_class1[:,1],color='blue')
31 plt.xlabel('sepal length')

~/anaconda3/envs/mlai/lib/python3.6/site-packages/matplotlib/pyplot.py in scatter(x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, hold, data, **kwargs)
3468 vmin=vmin, vmax=vmax, alpha=alpha,
3469 linewidths=linewidths, verts=verts,
-> 3470 edgecolors=edgecolors, data=data, **kwargs)
3471 finally:
3472 ax._hold = washold

~/anaconda3/envs/mlai/lib/python3.6/site-packages/matplotlib/init.py in inner(ax, *args, **kwargs)
1853 "the Matplotlib list!)" % (label_namer, func.name),
1854 RuntimeWarning, stacklevel=2)
-> 1855 return func(ax, *args, **kwargs)
1856
1857 inner.doc = _add_data_doc(inner.doc,

~/anaconda3/envs/mlai/lib/python3.6/site-packages/matplotlib/axes/_axes.py in scatter(self, x, y, s, c, marker, cmap, norm, vmin, vmax, alpha, linewidths, verts, edgecolors, **kwargs)
4285 x, y, s, c, colors, edgecolors, linewidths =
4286 cbook.delete_masked_points(
-> 4287 x, y, s, c, colors, edgecolors, linewidths)
4288
4289 scales = s # Renamed for readability below.

~/anaconda3/envs/mlai/lib/python3.6/site-packages/matplotlib/cbook/init.py in delete_masked_points(*args)
1655 if isinstance(x, np.ma.MaskedArray):
1656 if x.ndim > 1:
-> 1657 raise ValueError("Masked arrays must be 1-D")
1658 else:
1659 x = np.asarray(x)

ValueError: Masked arrays must be 1-D

Lecture 1 ipynb file not correct

lecture 1\ML-Anirban_Tutorial1.ipynb file is unable to open in JupyterNotebook.
Could you please fix that?

Thanks in advance

In tutorial1

plt.scatter(X_class1[:,0], X_class1[:,1],color='blue')

should be
plt.scatter([X_class1[:,0]], [X_class1[:,1]],color='blue')

ans same for other red color