TAAI - Manoj Kumar

Whatever happened in the exam is already done. Stress and overthinking won’t change the result - it will only affect your health and peace of mind.

Take a break today. Relax. Enjoy the Ind vs Pak match and spend some time with family.

Tomorrow at 10 AM, we will meet and calmly analyze the paper and solve everything step by step

Session Link - youtube.com/live/Dg3G-lS1_DI?si=lH9wmfldKylMFJhR

17 hours ago | [YT] | 31

TAAI - Manoj Kumar

Every early rise and late night has built your unbreakable strength. 💪

The struggle is over. The preparation is complete. The victory is already yours. 🏁

Walk into that hall with your head high and your logic razor-sharp. You haven’t just studied for an exam—you’ve mastered the art of persistence. 🧠⚡

Go finish what you started! 🎯

#GATEDA2026 #DataScience #ManojSir #victorymindset

https://www.youtube.com/watch?v=Z8tnW...

1 day ago (edited) | [YT] | 72

TAAI - Manoj Kumar

2 weeks ago | [YT] | 49

TAAI - Manoj Kumar

📢 Schedule Update
Our Machine Learning – Session VI from the Concept to Combat series has been rescheduled to tomorrow at 10:00 AM.

We apologize for the inconvenience and look forward to seeing you live! 🚀

👉 Don’t forget to join us!

2 weeks ago | [YT] | 6

TAAI - Manoj Kumar

🚀 Introducing Trap of the Day

I’m excited to announce the launch of “Trap of the Day” — a focused series where I’ll be sharing tricky exam questions that are commonly designed to confuse students. These are the exact conceptual traps where most aspirants lose marks, even after knowing the syllabus.

🎯 What you’ll gain from this series:

1. Daily tricky questions from exam-oriented topics
2. Identification of hidden traps in questions
3. Concept clarity to avoid common mistakes
4. Smarter exam-time decision making

The goal is simple: help you recognize traps before the exam does.

Stay tuned for the upcoming live session: youtube.com/live/7asbprcTinU?feature=share

Join our community:
📌 Website: www.taai.live/
📌 Telegram: t.me/Manoj_Gate_DSAI
📌 Discord: discord.gg/Yj7pSxMT
📌LinkedIn: www.linkedin.com/company/taai-gate-da-placements/?…

🔔 Subscribe to our channel and hit the bell icon to get more updates.

#TrapOfTheDay #ExamPreparation #TrickyQuestions #AvoidExamTraps #CompetitiveExams #SmartStudy #ConceptClarity #ExamStrategy #StudentLife #DataScienceExams #GATEPreparation #It’saTrap #GateDA #taai #gate #gate2026 #SubscribeNow

2 weeks ago | [YT] | 38

TAAI - Manoj Kumar

𝐌𝐋 𝐟𝐨𝐫 𝐆𝐀𝐓𝐄 𝐃𝐀 — 𝐂𝐑𝐀𝐂𝐊𝐄𝐃! 🔓|𝟏𝟎𝟎% 𝐅𝐑𝐄𝐄

Still stuck in endless theory
Let’s switch to MARKS MODE 💯

🎯 Concept → Combat Series (Machine Learning)
Designed to help you score FULL MARKS in ML — 𝐢𝐧 𝐣𝐮𝐬𝐭 ~𝟐𝟎 𝐩𝐨𝐰𝐞𝐫-𝐩𝐚𝐜𝐤𝐞𝐝 𝐡𝐨𝐮𝐫𝐬⚡

🔥 What you’ll get:
✅ Crystal-clear concepts (zero confusion)
✅ Heavy practice on every ML topic
✅ Time-saving PDFs (exam-focused)
✅ A proven roadmap to 100% accuracy

No fluff. No overload.
Only what GATE DA actually asks. 🧠📈

👇 𝐒𝐭𝐚𝐫𝐭 𝐲𝐨𝐮𝐫 𝐌𝐋 𝐝𝐨𝐦𝐢𝐧𝐚𝐭𝐢𝐨𝐧 𝐧𝐨𝐰
🔗 Watch here: www.youtube.com/playlist?list...

2 weeks ago | [YT] | 6

TAAI - Manoj Kumar

𝐂𝐨𝐧𝐜𝐞𝐩𝐭 𝐭𝐨 𝐂𝐨𝐦𝐛𝐚𝐭 | 𝐒𝐞𝐬𝐬𝐢𝐨𝐧 5: 𝐤𝐍𝐍 & 𝐂𝐥𝐮𝐬𝐭𝐞𝐫𝐢𝐧𝐠
Hello everyone! If you’ve been worried about Machine Learning, today is the day we turn that around. We are tackling k-Nearest Neighbors (kNN) and Clustering—two of the most intuitive yet high-scoring topics in the GATE DA syllabus.

If you haven't started ML yet, do not skip this. These are the "low-hanging fruit" that can easily net you 3-5 marks.

2 weeks ago | [YT] | 6

TAAI - Manoj Kumar

Keep doing the hard work—just like the penguin did. 🐧

Progress may feel slow, the journey may seem exhausting, but every step matters. Stay disciplined, stay consistent, and keep moving forward. Success is built by those who refuse to stop.

Stay tuned for the upcoming live session: youtube.com/live/9vLLDQlIC8E


#Motivation #HardWork #Consistency #StudentLife #ExamMotivation #NeverGiveUp #SuccessJourney#GateDA #taai #gate #gate2026

2 weeks ago | [YT] | 50

TAAI - Manoj Kumar

📝 Can you solve this exam-level question?
This is a tricky concept-based problem often asked in exams 📚

Consider a binary classification dataset used for training a decision tree.
The dataset consists of four samples in a 2-dimensional feature space:

Features: (f_1, f_2)
Class Labels: Y ∈ {+1, -1}

Given Dataset:
Positive Class (+1): (0, 0) , (1, 1)

Negative Class (-1): (0, 1) , (1, 0)

Assume that:
1. A decision tree uses Entropy as the impurity measure.
2. Logarithms are computed in base 2.
3. All samples have equal weight.
4. The root node contains all four samples.

The tree performs a binary split at the root node using the condition:
f_1 ≤ 0.5

Let H(S) denote the entropy of a set S and IG denote Information Gain.

What is the Information Gain obtained after performing the above split?

“🎯 Join today’s LIVE session for More such Questions:”
Session Link: youtube.com/live/vMisjIvYYhI?si=ndOkC_wF431RvtOP

Type Comment for the detailed Explanation.

#GATEDataScience #ExamTraps #GATE2026 #gate #taai #TrickeyQuestion #ConceptToCombat

2 weeks ago | [YT] | 17

TAAI - Manoj Kumar

𝐌𝐢𝐬𝐬𝐞𝐝 𝐭𝐡𝐞 𝐬𝐭𝐚𝐫𝐭? 𝐃𝐨𝐧'𝐭 𝐦𝐢𝐬𝐬 𝐭𝐡𝐞 𝐫𝐚𝐧𝐤.
The ML series has been incredible so far, but today is a game-changer.

We are kicking off Session 4 of the Concept to Combat Series at 6:30 PM, and here is the best part: today’s topics are almost entirely independent!

Topics for tonight:

🌳 Decision Trees

🔄 Resampling Methods (Cross-Validation)

📊 Evaluation Metrics

𝐖𝐡𝐲 𝐲𝐨𝐮 𝐜𝐚𝐧'𝐭 𝐬𝐤𝐢𝐩 𝐭𝐡𝐢𝐬: These topics carry the highest weightage in recent exams. Even if you haven't finished the previous sessions, you can jump in today and understand everything perfectly.

Don't let backlogs stop you from mastering the most important part of the syllabus.

📍 Join us LIVE at 6:30 PM

2 weeks ago (edited) | [YT] | 3