| Intro To ML /DS | Case Study On ML application |
| Intro To Python | Python Basic: Setup, Variables, TypeCasting, Numeric Operations, Logical Values, Conditions |
| Â | Programming Fundamentals: For and while Loops, If-Else Conditions |
| Â | Strings, List, DataStructures: Dictionary, Set, Tuples |
| Â | Functions |
| Â | Numpy |
| Â | Pandas |
| Data Visualization | Basic Statistics: Univariate statistics, shape, Central Tendency, Outliers, Correlation |
| Machine Learning Basics | Machine Learning Introduction |
|  | Cost function |
| Â | Gradient Descent |
| Â | Linear Models |
| Â | Decision Trees |
| Â | Random forests |
| Â | KNN |
| Â | SVM |
| Â | Neural Networks |
| Â | segmentation, Clustering. |
View this Course
Certified
You have 
