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deepaksood619 · Feb 1, 2024 · 2f9d20a · 2f9d20a
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diff --git a/docs/ai/computer-vision-cv/intro.md b/docs/ai/computer-vision-cv/intro.md
@@ -97,7 +97,7 @@ https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio
 
 ## References
 
-[Self Driving Nanodegree](../../computer-science/courses/self-driving-nanodegree)
+[Self Driving Nanodegree](courses/self-driving-nanodegree.md)
 
 https://towardsdatascience.com/understanding-ssd-multibox-real-time-object-detection-in-deep-learning-495ef744fab
 

diff --git a/docs/ai/others-resources-interview.md b/docs/ai/others-resources-interview.md
@@ -108,8 +108,8 @@
 - Readings in applied data science - https://github.com/hadley/stats337
 - Fundamentals of data vizualization - https://serialmentor.com/dataviz
 - Spark - https://cognitiveclass.ai/learn/spark
-	- Spark, storm, flink
-	- Athena / Presto / Hive
+  - Spark, storm, flink
+  - Athena / Presto / Hive
 - HDFS Architecture - https://hadoop.apache.org/docs/r3.0.0/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html
 - Computer Vision - https://in.udacity.com/course/introduction-to-computer-vision--ud810
 - NPTEL - Data Mining - https://onlinecourses.nptel.ac.in/noc19_cs15
@@ -200,11 +200,12 @@
 - https://github.com/FavioVazquez/ds-cheatsheets
 - https://github.com/jonathan-bower/DataScienceResources
 - https://towardsdatascience.com/5-professional-projects-every-data-scientist-should-know-e89bf4e7e8e1
-	1. Customer Segmentation
-	2. Text Classification
-	3. Sentiment Analysis
-	4. Time Series Forecasting
-	5. Recommendation Systems
+
+ 1. Customer Segmentation
+ 2. Text Classification
+ 3. Sentiment Analysis
+ 4. Time Series Forecasting
+ 5. Recommendation Systems
 
 ## Courses
 

diff --git a/docs/computer-science/courses/365-ds-advanced-stastistical-methods-in-python.md b/docs/computer-science/courses/365-ds-advanced-stastistical-methods-in-python.md
diff --git a/docs/computer-science/courses/365-ds-mathematics.md b/docs/computer-science/courses/365-ds-mathematics.md
diff --git a/docs/computer-science/courses/readme.md b/docs/computer-science/courses/readme.md
diff --git a/docs/computer-science/readme.md b/docs/computer-science/readme.md
@@ -11,7 +11,6 @@
 - [Security](security/readme.md)
 - [Interview Question](interview-question/readme.md)
 - [IoT](iot/readme.md)
-- [Courses](computer-science/courses/readme.md)
 - [Others](others/readme.md)
 - [Links](computer-science/links.md)
 

diff --git a/...ience/courses/365-data-science-program.md → docs/courses/365-data-science-program.md b/...ience/courses/365-data-science-program.md → docs/courses/365-data-science-program.md
@@ -6,28 +6,16 @@
 4. Probability
 5. Statistics
 6. Mathematics
-7. PowerBI
-
-    https://365datascience.teachable.com/courses/enrolled/716963
-
+7. PowerBI - https://365datascience.teachable.com/courses/enrolled/716963
 8. SQL
-9. SQL + Tableau
-
-    https://365datascience.teachable.com/courses/enrolled/361448
-
+9. SQL + Tableau - https://365datascience.teachable.com/courses/enrolled/361448
 10. Introduction to Python
 11. The Python Programmer
 12. Git and Github
 13. Introduction to R Programming
 14. Advanced Statistical Methods
-15. Deep Learning with TensorFlow
-
-    https://365datascience.teachable.com/courses/enrolled/284663
-
-16. Deep Learning with TensorFlow 2.0
-
-    https://365datascience.teachable.com/courses/enrolled/614390
-
+15. Deep Learning with TensorFlow - https://365datascience.teachable.com/courses/enrolled/284663
+16. Deep Learning with TensorFlow 2.0 - https://365datascience.teachable.com/courses/enrolled/614390
 17. **Credit Risk Modeling in Python**
 18. **Time Series Analysis in Python**
 19. **Customer Analytics in Python**