akshay-kap/data-modeling-analysis-ece657a

Features assignments and learning from course: Data Modelling and Analaysis ECE 657A

Data-modeling-and-Analysis-ECE657A

Features assignments and learning from course: Data Modelling and Analaysis ECE 657A Explore the files for :

1. EDA on wine , iris data
2. feature engineering on Wine color and quality dtaa, iris data.
3. Comparison and hyperparmeter tuning using gridserach of techniques such as SVM, KNN, Decision Trees, Random Forest, XGBoost.
4. Manifold learning techniques like kernel PCA, Isomap,LLE,T-SNE etc.
5. Numpy based implementation of PCA
6. Analysis of PCA, LDA components.
   7.Feature selection and extraction techniques and explanations.