Check the assignment reports for more details on the questions and the code implementation result analysis
- TSNE on dataset 1
- Grid search technique on Decision Tree Classifier on dataset 2
- Linear Regression from scratch
- Linear Regression using Normal Equations from scratch
- Comparison using Linear Regression using Scikit-learn
- PCA and HOG + color histogram
- SVM
- Logististic Regression - One vs One (OVO) and One vs Rest (OVR)
- K-Means clustering Algorithm
- Naive Bayes Algorithm (with add-1 smoothing) on a text-data set after preprocessing (removing punctuations and stopwords, lowecasing all words) and a vocabulary of unique words
- KNN algorithm
- Neural Networks architecture
- Convoluted Neural Networks (CNN)
- Recurrent Neural Networks (RNN)