Class 10 AI tuition for Noida and Greater Noida, from a laptop in your own flat.

In practice your child's school handles the office: it registers Class 10 students with subject code 417, issues the admit card and receives the exam centre allotment, which can be another school in the district. The last row matters only if you read notices: a circular for Delhi East schools is not about a school in Sector 62, even though the two are a short drive apart.

We found no official count of CBSE schools in Gautam Buddh Nagar that offer 417, so we do not quote one. Ask the school if you are not sure your child's skill subject is AI.

1. Step 1. Normalise each document

   D1 becomes metro, late, today. D2 becomes today, bus, late, crowded. D3 becomes metro, crowded. Before cleaning the documents had 5, 7 and 4 words; the stopwords carried no meaning for the task.

2. Step 2. The dictionary

   Every unique word, in order of first appearance: metro, late, today, bus, crowded. Five words.

3. Step 3. Document vectors

   Count each dictionary word in each document and write one row per document.

(c) bus has the highest IDF. IDF is log(N / document frequency) with N = 3 documents: for bus that is log10(3 / 1) = 0.477, and for each of the other four words log10(3 / 2) = 0.176. A word found in fewer documents tells you more about the document it is in, so it gets a higher weight. We checked these values with Python before printing them.

In class the teacher marks the most common slip on screen: students forget to strike out a stopword in one document and their dictionary grows to six words. The full TF, IDF and TFIDF method with a larger corpus is on the Bag of Words and TFIDF page, and the rest of the unit on the NLP questions page.

1. Eight weeks out: the file is the priority

   At least 15 programs are needed. By now most should be written, run and explained; missing ones are scheduled for specific Wednesdays.

2. Six weeks out: the project is finished

   The project is complete with its write-up, following the stages of the AI project cycle, so the remaining weeks are for explaining it rather than building it.

3. Four weeks out: a timed practical rehearsal

   An unseen task, on the student's own laptop, under time, with the teacher watching the screen the way an examiner watches in the lab.

4. Two weeks out: mock vivas

   Questions on the file and the project, each followed by a second "why". Students who stumble get another round the next week. The question bank is on the viva questions page.

5. The week itself: light revision only

   Re-run every file program once, read the project summary aloud, and sleep. New topics in practical week help nobody.