1. Matrix Multiplication
2. Replace numbers with "#"
3. Print name of students
4. Print 5 closest elements for a given point (p,q) based on the angle between (p,q) and (x,y)
5. from the given set of hyperplanes find a hyperplane that will separate both red and green points

1. EDA

Amazon-Fine-Food-Reviews

1. EDA
2. Cleaning Datasetregression
3. Bi_gram and n-gram
4. TF-IDF
5. Word2Vec

KNN

1. BOW
2. TF-IDF
3. W2V
4. Weighted TF-IDF W2V

Naive Bayes

1. BOW without calculating optimal alpha
2. Calculate optimal alpha
3. BOW
4. TF-IDF

Logistic regression BOW

1. GridSearchCV (i.) L1 Regularization (ii.) L2 Regularization
2. RandomizedSearchCV (i.) L1 Regularization (ii.) L2 Regularization

Support Vector Machine BOW Implimentation Explane SVM

visualization for clusters.

Finding optimanl k value.

Note : file1.csv : csv file clean dataset form amazon food review