Skip to content

Commit 8117ca2

Browse files
authored
Update README.md
1 parent f4205ef commit 8117ca2

1 file changed

Lines changed: 14 additions & 37 deletions

File tree

TensorFlow/README.md

Lines changed: 14 additions & 37 deletions
Original file line numberDiff line numberDiff line change
@@ -1,48 +1,25 @@
1-
# Python Tutorials
1+
# ud730 Deep Learning Udacity Assignment Walkthroughs
22

3-
## Time Series
3+
### Assignment 1
4+
[Logistic Regression](https://github.com/mGalarnyk/Python_Tutorials/blob/master/TensorFlow/Udacity/1_logistic_regression.ipynb "Logistic Regression")
45

5-
### Youtube
6-
[Time Series Data Basics with Pandas Part 1](https://www.youtube.com/watch?v=OwnaUVt6VVE "Time Series Data Basics with Pandas part 1")
6+
[1_notmnist](https://github.com/mGalarnyk/Python_Tutorials/blob/master/TensorFlow/Udacity/Clean_Notebooks/1_notmnist.ipynb "1_notmnist")
77

8-
[Time Series Data Basics with Pandas Part 2](https://www.youtube.com/watch?v=1S5UKLqe-gg "Time Series Data Basics with Pandas part 2")
8+
### Assignment 2
99

10-
### Jupyter Notebook
11-
[Time Series Data Basics with Pandas Part 1](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Time_Series/Part1_Time_Series_Data_BasicPlotting.ipynb "Time Series Data Basics with Pandas Part 1")
10+
[2_fullyconnected](https://github.com/mGalarnyk/Python_Tutorials/blob/master/TensorFlow/Udacity/Clean_Notebooks/2_fullyconnected.ipynb "2_fullyconnected")
1211

13-
[Time Series Data Basics with Pandas Part 2](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Time_Series/Part2_Time_Series_Data_Price_Variation_ShiftingGroupBy.ipynb "Time Series Data Basics with Pandas Part 2")
12+
### Assignment 3
1413

15-
## PySpark Tutorials
14+
[3_regularization](https://github.com/mGalarnyk/Python_Tutorials/blob/master/TensorFlow/Udacity/Clean_Notebooks/3_regularization.ipynb "3_regularization")
1615

17-
### Youtube
18-
[Filtering and Word Count using PySpark on Pride and Prejudice by Jane Austen](https://www.youtube.com/watch?v=jg7Z8ctKpEs "Filtering and Word Count using PySpark on Pride and Prejudice")
16+
### Assignment 4
1917

20-
### Jupyter Notebook
21-
[Filtering and Word Count using PySpark on Pride and Prejudice by Jane Austen](https://github.com/mGalarnyk/Python_for_Finance_GUI_Regression_Etc/blob/master/PySpark_Basics/PySpark_Part1_Word_Count_Removing_Punctuation_Pride_Prejudice.ipynb "Filtering and Word Count using PySpark on Pride and Prejudice by Jane Austen")
18+
[4_convolutions](https://github.com/mGalarnyk/Python_Tutorials/blob/master/TensorFlow/Udacity/Clean_Notebooks/4_convolutions.ipynb "4_convolutions")
2219

23-
## Python Basics
20+
### Assignment 5
2421

25-
### Youtube
26-
[Linear Regression Python (sklearn, numpy, pandas)](https://www.youtube.com/watch?v=dSYJVbj4Eew "Linear Regression Python (sklearn, numpy, pandas)")
27-
28-
[Solving System of Equations](https://www.youtube.com/watch?v=AqIrdW2-K6k "Solving System of Equations")
29-
30-
### Jupyter Notebook
31-
[Linear Regression Python (sklearn, numpy, pandas)](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Python_Basics/Linear_Regression/Linear_Regression_Python.ipynb "Linear Regression Python (sklearn, numpy, pandas)")
32-
33-
[Solving System of Equations](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Python_Basics/Solving_Systems_Equations/Solving%20System%20of%20Linear%20Equations%20using%20Python.ipynb "Solving System of Equations")
34-
35-
## Requests (I take requests on my youtube channel)
36-
### Youtube
37-
[Heatmaps using Matplotlib, Seaborn, and Pandas](https://www.youtube.com/watch?v=m7uXFyPN2Sk "Heatmaps using Matplotlib, Seaborn, and Pandas")
38-
39-
### Jupyter Notebook
40-
[Heatmaps using Matplotlib, Seaborn, and Pandas](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Request/Heat%20Maps%20using%20Matplotlib%20and%20Seaborn.ipynb "Heatmaps using Matplotlib, Seaborn, and Pandas")
41-
42-
## Other Python Resources
43-
[Python for Informatics](https://github.com/mGalarnyk/Python_Tutorials/blob/master/Python_Informatics/README.md "Python for Informatics")
44-
45-
[Python Installations](https://github.com/mGalarnyk/Installations_Mac_Ubuntu_Windows "Python Installations")
46-
47-
[Convert Jupyter Notebook to PDF](https://www.youtube.com/watch?v=WbNYvYCs9BY "Convert Jupyter Notebook to PDF")
22+
[5_word2vec](https://github.com/mGalarnyk/Python_Tutorials/blob/master/TensorFlow/Udacity/Clean_Notebooks/5_word2vec.ipynb "5_word2vec")
4823

24+
### Assignment 6
25+
[6_lstm](https://github.com/mGalarnyk/Python_Tutorials/blob/master/TensorFlow/Udacity/Clean_Notebooks/6_lstm.ipynb "6_lstm")

0 commit comments

Comments
 (0)