Applied-ai-course

Applied ai course is a online platform to learning data science. In this repository include assignments ,projects done in the course as part of their curriculum. These repository include basic python programming to advanced ml and dl problems

Contents

1. Python user defined functions
2. Pandas exercise
3. Python mathematical exercise
4. Exploratory data analysis
5. TF-IDF implementation from scratch
6. Random search cv from scratch
7. Perfromance metrics without using sklearn
8. Naive Bayes Classifier on donorschoose dataset
9. Implementation of SGD without sklearn
10. Behaviour of linear models
11. Decision tree on donarchoose dataset
12. Implementation of Random forest and application of bootstrap samples
13. GBDT on donarchoose dataset
14. Clustering on Graph dataset
15. Recommendation Systems and Truncated SVD
16. Facebook Recomendation as a classification task
17. Implementation of Back Propagation from scratch
18. Working with Tensor flow 2.0 callbacks
19. Document classification using Transfer Learning