Machine-Learning-COL774

Machine Learning Assignments of the course COL774 taken by Parag Singla, at IIT Delhi.

About Course: tl:dr;

Assignment portion was way too time consuming, but the weightage was around (33 marks), which is very unbalanced for a rational person. Final exam has more weightage than this.

More than 100 hrs of work vs 2 hrs of major exam. Fancy that.

3/10 would recommend

Whether to copy assignments OR not?

Obviously not: Copying assignments will not give you the opportunity to learn, and hence it would defeat the purpose of the course; after saying this, I remember the meaningful quote of Picasso, "Good artists borrow, great artists steal." It's upto you, whether you want to be good or great. The separation line is absurdly wide but a fool never removes his eyes from the sky.

Assignment-1:

- Linear Regression
- Locally Weighted Linear Regression
- Logistic Regression
- Gaussian Discriminant Analysis

Correctly done

Assignment-2:

- Text Classification Using Naive Bayes
- MNIST Digit Classification using SVM

Correctly done

Assignment-3:

- Decision Trees and Random Forests
- Neural Networks

Demo: When pruning, one should consider the best possible node to prune rather going in leaf to root fashion: I didn't implement it with purpose: It took too much time to train.

Assignment-4:

- Competitive Part:
	- SVM and CNN on a given dataset
- Non-competitive Part:
	- Do any model on given dataset

Least interesting assignment: Test data was wrong for like a week or something, deadlines were changed way too quickly, it took way too much time to train the model: Ill-managed.

SVM and CNN are correctly implemented.