======CS244: Introduction to Data Science ======
This course will provide a basic understanding of data science and how to solve problems from varied domains. 

=====Class timings=====
  * Monday - 1400-1500
  * Tuesday - 1400-1500
  * Friday  - 1400-1500


=====TAs=====

| Piyush Garg  | Shruti Saxena  | Srishti Gupta  | Saurabh Sharma  |
| Sandeep  | Prabhat  | Susmita  | Dhirendra Kumar  |
|

=====Books=====
  * Steven Skiena, Data Science Design Manual

=====Slides=====
^  Topics  ^  Slides  ^  Annotated Slides / Notes  ^
|  Model evaluation  |  {{ :courses:2022:cs244:01_model_evaluation.pdf |pdf}}  |  {{ :courses:2022:cs244:01_model_evaluation_ann.pdf | pdf}}  |
|  Linear Algebra  |  {{ :courses:2022:cs244:02_linear_algebra.pdf |pdf}}  |  {{ :courses:2022:cs244:02_linear_algebra_ann_cs244.pdf | pdf}}  | 
|  Linear regression  |  {{ :courses:2022:cs244:03_linear_regression.pdf |pdf}}  |  {{ :courses:2022:cs244:03_linear_regression_ann.pdf | pdf}}  | 
|  Gradient descent  |  {{ :courses:2022:cs244:04_gradient_descent.pdf |pdf}}  |  {{ :courses:2022:cs244:04_gradient_descent_ann.pdf | pdf}}  |
|  Logistic regression  |  NA  |  {{ :courses:2022:cs244:classification.pdf | pdf}}  |
|  Distance  |  {{ :courses:2022:cs244:06_distance.pdf |pdf}}  |  {{ :courses:2022:cs244:06_distance_ann.pdf | pdf}}  |
|  Graphs  |  {{ :courses:2022:cs244:07_graph.pdf |pdf}}  |  {{ :courses:2022:cs244:07_graph_ann.pdf | pdf}}  |
|  Clustering  |  {{ :courses:2022:cs244:08_clustering.pdf |pdf}}  |  {{ :courses:2022:cs244:08_clustering_ann.pdf | pdf}}  |
|  Decision Trees  |  {{ :courses:2022:cs244:10_decision_tree.pdf |pdf}}  |  {{ :courses:2022:cs244:10_decision_tree_ann.pdf | pdf}}  |
|  SVM  |  {{ :courses:2022:cs244:11_svm.pdf |pdf}}  |  {{ :courses:2022:cs244:11_svm_ann.pdf | pdf}}  |
|  Deep learning  |  NA  |  {{ :courses:2022:cs244:cs244-dl.pdf | pdf}}  |
|  Big data  |  {{ :courses:2022:cs244:13_bigdata.pdf |pdf}}  |  NA  |