Pull - #1

1. sklearn cross_validation has been deprecated, so switched to sklearn model_Selection
2. was getting a "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT." warning for the LR model, so switched the max iterations to 1500

Update Lecture_TextMining_3

Updated to use fstrings

Update directory path to be a variable

- Updated graphs to be looped
- Fixed figure size so its actually visible
-Corrected binning mistake on second plot

Very minor changes to the "Important Concepts Defined" under the Bias-Variance Decomposition for Least-Squares Error so that the bullets are displayed correctly

Change to liblinear solver in order to fix python error
Update images with newly run code.
Bump Python

Update to Regularization

Revert "Update to Regularization"

Multiply by Vt for Low Rank Approximation, Bump Pythons, Use relative instead of absolute paths.

just little things I noticed

Updated graphs via loops, fixed mistakes

Bias Variance lecture edits