AppliedAi-Assignments

AppliedAi-Assignments 1

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

AppliedAi-Assignments 2

1. EDA

AppliedAi-Assignments 3

Amazon-Fine-Food-Reviews

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

AppliedAi-Assignments 4

KNN

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

AppliedAi-Assignments 6

Naive Bayes

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

AppliedAi-Assignments 7

Logistic regression
BOW

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

AppliedAi-Assignments 7-2

Support Vector Machine
BOW
Implimentation
Explane SVM

KNN_model_visualization

visualization for clusters.

KNN_model_find_optimanl_k

Finding optimanl k value.

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