PART A - ruclips.net/video/urHNsHKY5Ss/видео.html Intro to AI - 0:37 Project cycle - 20:47 Data science - 1:07:42 Computer Vision- 1:13:57 NLP - 1:35:48 Maths Hua Khatam AB AI ki hai baari, BE READY for 100% ki tayaari 🔥🔥 PART A will be Scheduled soon, and Questions Answer Marathon of 400 Questions will be done on 12th t.me/aiforkids
This video has many views but a few number of likes and instead of liking people are commenting so that their comment gets likes. Support this guy for his absolute teaching. Thank you bhaiya 🙏
Time stamp Introduction to ai 0:29 Ai project cycle 20:47 Neural networks 56:34 Data science 1:13:25 Computer vision 1:13:25 Introduction to NLP 1:35:59
Timestamps (Powered by Merlin AI) 00:02 - Complete AI Class 10 Part B in one shot with revision 02:31 - AI encompasses machine learning and deep learning as subsets. 06:34 - Computer vision and natural language processing in AI 08:48 - Ethical use of AI and its implications 12:53 - Reasons for collecting data and types of sensors 15:08 - Importance of data privacy and consent when installing apps 19:11 - Introduction to AI impacts on jobs and AI for Kids 21:04 - Understanding data acquisition and project cycle in AI 24:56 - Understanding the four W's for efficient problem solving 26:49 - Understanding the problem statement template 30:18 - Importance of authentic and relevant data for efficient AI projects 32:26 - Big data concepts and web scraping 36:34 - Creating a News API function in Python 38:36 - Government data authenticity and exploration importance 42:17 - Training the machine on a different data set will result in failure and no learning. 44:11 - Supervised learning involves classification and regression based on labeled dataset. 48:01 - Regression works on continuous data beyond classification. 50:14 - Explaining the concept and difference between supervised and unsupervised learning. 55:33 - Introduction to reinforcement learning and neural networks 57:20 - Larger neural networks perform better with more data. 1:01:10 - Neural networks work through interconnected layers of nodes 1:03:04 - Hidden layers in AI perform complex processing 1:06:43 - Data is the new gold for AI as it learns and operates based on data 1:08:27 - Applications of Data Science in financial risk assessment and genetics 1:12:36 - Understanding the significance of Project Cycle Revisiting 1:14:20 - Utilizing computer vision in retail shops for inventory management 1:18:58 - OCR and Computer Vision models in AI 1:21:07 - Object detection and identification in computer vision 1:25:16 - Understanding pixel dimension and resolution 1:27:08 - Understanding resolution in terms of megapixels and pixel value range. 1:31:12 - Understanding pixel values and grayscale images 1:33:10 - Combining red, green, and blue colors to create different shades and colors 1:37:06 - Natural Language Processing (NLP) is a subfield of AI focusing on understanding human language 1:39:11 - Understanding Sentimental Analysis and its importance. 1:43:58 - AI assistants can make our lives easier by helping with tasks. 1:45:50 - Creating a chatbot for emotional support 1:49:51 - Understanding degree one and degree four graphs and their representation 1:51:56 - Underfitting and Overfitting in AI models 1:56:09 - AI vs Human Language Processing 1:58:24 - Understanding the process of brain processing and computer language conversion. 2:02:26 - Understanding the interpretation of machine based on context 2:04:30 - Text normalization process overview 2:08:28 - Understanding Stop Words in Natural Language Processing 2:10:25 - Understanding Stemming and Lemmatization in AI Text Processing 2:14:21 - Bag of Words process in text normalization. 2:16:12 - Importance of stop words in AI class 10 2:19:48 - Creating a Document Vector Table for a Corpus 2:21:25 - Understanding the relationship between frequency and value of words 2:25:04 - Understanding Document Frequency in AI Class 10 2:27:03 - Understanding Term Frequency and Inverse Document Frequency (TF IDF) 2:31:25 - Understanding TF-IDF and its Applications 2:33:47 - Good luck for the exams!
Intro to AI - 0:37 Project cycle - 20:47 Data science - 1:07:42 Computer Vision- 1:13:57 NLP - 1:35:48 Evaluation will have special class Intro to AI - 0:37 Project cycle - 20:47 Data science - 1:07:42 Computer Vision- 1:13:57 NLP - 1:35:48 Evaluation will have special class Intro to AI - 0:37 Project cycle - 20:47 Data science - 1:07:42 Computer Vision- 1:13:57 NLP - 1:35:48 Evaluation will have special class
2:12:28 The Ninja technique to learn is" stop cost labelling. " Here in word 'stop' 'S' is sentence segmentation and ''to' is tokenization and the complete word stop is stop word. In sentence cost 'co' is common case and 'st' is stemming . And the labelling early is for lemmatisation. 2:12:29
Shobit nirwan se jobhi pdha tha online . Usme se kuchhh bhi nhi aaya bs 30% aaya tha sehmat ho toh like kro yrr🙌😥 jiska paper achha nhi gya itni mehnat ke baad bhi..ek like toh bnta h❤
Bhai ncert na krke shobhit nirwan se pdhne ko bola sbko usse pdhne ke baad bhi achha paper nhi gya usne un que ki possibility btai ki 90% chance aane ke..jo aaye hi nhi ..Woh que bhi bhot saare the jo hmne usse pdhe the
00:02 - Complete AI Class 10 Part B in one shot with revision 02:31 - AI encompasses machine learning and deep learning as subsets. 06:34 - Computer vision and natural language processing in AI 08:48 - Ethical use of AI and its implications 12:53 - Reasons for collecting data and types of sensors 15:08 - Importance of data privacy and consent when installing apps 19:11 - Introduction to AI impacts on jobs and AI for Kids 21:04 - Understanding data acquisition and project cycle in AI 24:56 - Understanding the four W's for efficient problem solving 26:49 - Understanding the problem statement template 30:18 - Importance of authentic and relevant data for efficient AI projects 32:26 - Big data concepts and web scraping 36:34 - Creating a News API function in Python 38:36 - Government data authenticity and exploration importance 42:17 - Training the machine on a different data set will result in failure and no learning. 44:11 - Supervised learning involves classification and regression based on labeled dataset. 48:01 - Regression works on continuous data beyond classification. 50:14 - Explaining the concept and difference between supervised and unsupervised learning. 55:33 - Introduction to reinforcement learning and neural networks 57:20 - Larger neural networks perform better with more data. 1:01:10 - Neural networks work through interconnected layers of nodes 1:03:04 - Hidden layers in AI perform complex processing 1:06:43 - Data is the new gold for AI as it learns and operates based on data 1:08:27 - Applications of Data Science in financial risk assessment and genetics 1:12:36 - Understanding the significance of Project Cycle Revisiting 1:14:20 - Utilizing computer vision in retail shops for inventory management 1:18:58 - OCR and Computer Vision models in AI 1:21:07 - Object detection and identification in computer vision 1:25:16 - Understanding pixel dimension and resolution 1:27:08 - Understanding resolution in terms of megapixels and pixel value range. 1:31:12 - Understanding pixel values and grayscale images 1:33:10 - Combining red, green, and blue colors to create different shades and colors 1:37:06 - Natural Language Processing (NLP) is a subfield of AI focusing on understanding human language 1:39:11 - Understanding Sentimental Analysis and its importance. 1:43:58 - AI assistants can make our lives easier by helping with tasks. 1:45:50 - Creating a chatbot for emotional support 1:49:51 - Understanding degree one and degree four graphs and their representation 1:51:56 - Underfitting and Overfitting in AI models 1:56:09 - AI vs Human Language Processing 1:58:24 - Understanding the process of brain processing and computer language conversion. 2:02:26 - Understanding the interpretation of machine based on context 2:04:30 - Text normalization process overview 2:08:28 - Understanding Stop Words in Natural Language Processing 2:10:25 - Understanding Stemming and Lemmatization in AI Text Processing 2:14:21 - Bag of Words process in text normalization. 2:16:12 - Importance of stop words in AI class 10 2:19:48 - Creating a Document Vector Table for a Corpus 2:21:25 - Understanding the relationship between frequency and value of words 2:25:04 - Understanding Document Frequency in AI Class 10 2:27:03 - Understanding Term Frequency and Inverse Document Frequency (TF IDF) 2:31:25 - Understanding TF-IDF and its Applications 2:33:47 - Good luck for the exams!
Thank you bhaiya for this literally I was just dependent on you for AI knowing there is no video for us students who have opted for Ai from which we can revise from. Once again thank you 💗✨
Thank u so much bhaiya.... ap hi ho jinhone AI ke liye class li vrna to mostly youtube pr sb IT ke liye hi lectures le rhe the hmne to hope kho di thi ki koi AI padhaega .....thank u so much bhaiya for your hardwork....!!..!
PART A - ruclips.net/video/urHNsHKY5Ss/видео.html
Intro to AI - 0:37
Project cycle - 20:47
Data science - 1:07:42
Computer Vision- 1:13:57
NLP - 1:35:48
Maths Hua Khatam AB AI ki hai baari, BE READY for 100% ki tayaari 🔥🔥
PART A will be Scheduled soon, and Questions Answer Marathon of 400 Questions will be done on 12th
t.me/aiforkids
Thankyou Bhaiya
Bhaiya notes bahut ache😊 hai ye is class ke notes hame kaha milenge aur kab 😢😢
Na bhai bhut acha tha es se easy kya ho sakta hai bro
Thanks bhaiya so much ❤❤❤
Thank you sir
For such a good explanation ❤❤❤❤
I love most
Thank sir
You are best ❤❤❤❤
50/50 ajye sabkee..kise ke bhi ekat sub me todha bura gaya hon tension not ai bacha lega🐱🙌
Op!mast gaya ai tysmmmmmm bhaiya~~
kya matlab sare he bure ho
@@sahilgotrizz bruh 💀
@@sahilgotrizz kya matlab beghar- i mean if it was me 😭
Kaise bahi AI marks add hota h percentage me??
Bhy mujhe to samajh mai nhi AA rha Kya padhu kaha se questions padhu 😥
Intro to AI - 0:37
Project cycle - 20:47
Data science - 1:07:42
Computer Vision- 1:13:57
NLP - 1:35:48
Evaluation will have special class
thanks dude!!! i just wanted this 🙂
ayenge vo bhi @@Kaira016
thnk
❤❤
Thanks 😊
Jo like krega bhagwan kare uske 50/50 aaye😂❤
Aree bhagwan ne personally bola hai lgta hai tumko 😂
@@zeronin246 ap chronology samaghiya ( Amit shah 😂)
Nahi karunga baap ka school hai 😂
Bhagwan ka nam leker like nhi karoge to Ai me fail 😂😂😂
Abe sale Jada bolra itna marungana ki nanj yaad aa jaayegi
Bhai be positive
😂😂😂Like magne ka tarika thoda casual hai😂
🐒-yeh tu hai naah???? Jyada bak mat warna I can't guarantee your safety.......🩴🩴🩴
And what u are saying not possible so disliked!💀
Bahi agar tune muja Bina meri insta I'd mange bina follow nahi Kiya to tu fail🎉
1like ---99 marks in AI , IT AND CA 😇😇😇
Bhai 50 marks ka paper hai
Bhai bina like ke bhi , bhaiya ke padhane se 99% in AI ata hai mene previous year experience kiya.
Already disliked!💀
Baki ka 1 like tere g mein ghusa haii kya?
CA?
I started to watch in the morning only😅 before the exam
Bhai tu pass ho gaya...
@@IsmitaMuskan-d3f nhi hua lgtA
WESE AAP GURL HO
Bhi tare 10 ma kitne aaye?
One book and one pen and teacher change the world
NEXT TOPPERS ZINDA BAD
👍👍👍👍👍
AARAMBHIANS assembled
@@Pratiksha-y2o what's difference? No hate just asking
Jo like karega uke 90+ aayenge: NO RISK😊
kon kon A.I ka exam phodene wala hai🗿🗿🗿? attendence lagao👇👇
Me 🥳🙏
Me 😎
Me😎
me
Meeee
We are kvians😂😂😢😊
@@Soni-us3tl ♥️
which kv?
Keshavpuram
@@nikitabidhuri1704 cws jayant MP
🤣🤣 kv
Intro to AI - 0:37
Project cycle - 20:47
Data science - 1:07:42
Computer Vision- 1:13:57
NLP - 1:35:48
❤❤❤
This video has many views but a few number of likes and instead of liking people are commenting so that their comment gets likes.
Support this guy for his absolute teaching.
Thank you bhaiya 🙏
Legends are watching one day before exam 😂
Attandance here 👇👇👇👇
😮 ya
Bhai 12 ghante me exam hai book kholi tak nhi bas ye video dekh ke jaunga 😂
@@riptechnoblade6981 bhai ye zyada real hogya 💀😭
Kal hi to aya video 😂😂
No.... Legends are watching 4 or 5 hour's before exam....
Time stamp
Introduction to ai 0:29
Ai project cycle 20:47
Neural networks 56:34
Data science 1:13:25
Computer vision 1:13:25
Introduction to NLP 1:35:59
Timestamps (Powered by Merlin AI)
00:02 - Complete AI Class 10 Part B in one shot with revision
02:31 - AI encompasses machine learning and deep learning as subsets.
06:34 - Computer vision and natural language processing in AI
08:48 - Ethical use of AI and its implications
12:53 - Reasons for collecting data and types of sensors
15:08 - Importance of data privacy and consent when installing apps
19:11 - Introduction to AI impacts on jobs and AI for Kids
21:04 - Understanding data acquisition and project cycle in AI
24:56 - Understanding the four W's for efficient problem solving
26:49 - Understanding the problem statement template
30:18 - Importance of authentic and relevant data for efficient AI projects
32:26 - Big data concepts and web scraping
36:34 - Creating a News API function in Python
38:36 - Government data authenticity and exploration importance
42:17 - Training the machine on a different data set will result in failure and no learning.
44:11 - Supervised learning involves classification and regression based on labeled dataset.
48:01 - Regression works on continuous data beyond classification.
50:14 - Explaining the concept and difference between supervised and unsupervised learning.
55:33 - Introduction to reinforcement learning and neural networks
57:20 - Larger neural networks perform better with more data.
1:01:10 - Neural networks work through interconnected layers of nodes
1:03:04 - Hidden layers in AI perform complex processing
1:06:43 - Data is the new gold for AI as it learns and operates based on data
1:08:27 - Applications of Data Science in financial risk assessment and genetics
1:12:36 - Understanding the significance of Project Cycle Revisiting
1:14:20 - Utilizing computer vision in retail shops for inventory management
1:18:58 - OCR and Computer Vision models in AI
1:21:07 - Object detection and identification in computer vision
1:25:16 - Understanding pixel dimension and resolution
1:27:08 - Understanding resolution in terms of megapixels and pixel value range.
1:31:12 - Understanding pixel values and grayscale images
1:33:10 - Combining red, green, and blue colors to create different shades and colors
1:37:06 - Natural Language Processing (NLP) is a subfield of AI focusing on understanding human language
1:39:11 - Understanding Sentimental Analysis and its importance.
1:43:58 - AI assistants can make our lives easier by helping with tasks.
1:45:50 - Creating a chatbot for emotional support
1:49:51 - Understanding degree one and degree four graphs and their representation
1:51:56 - Underfitting and Overfitting in AI models
1:56:09 - AI vs Human Language Processing
1:58:24 - Understanding the process of brain processing and computer language conversion.
2:02:26 - Understanding the interpretation of machine based on context
2:04:30 - Text normalization process overview
2:08:28 - Understanding Stop Words in Natural Language Processing
2:10:25 - Understanding Stemming and Lemmatization in AI Text Processing
2:14:21 - Bag of Words process in text normalization.
2:16:12 - Importance of stop words in AI class 10
2:19:48 - Creating a Document Vector Table for a Corpus
2:21:25 - Understanding the relationship between frequency and value of words
2:25:04 - Understanding Document Frequency in AI Class 10
2:27:03 - Understanding Term Frequency and Inverse Document Frequency (TF IDF)
2:31:25 - Understanding TF-IDF and its Applications
2:33:47 - Good luck for the exams!
U help me a lot in class 10 ai mujha kuch tayaar nhi tha our aap sa padh kar last ka 4,5 din 42 laye the mai AI mai y are super talented😊
Bhaiya is class ke notes bahut ache hai kaha milenge combined 🥺🥺
@@IshowshortsmemeBy MS Kumar swamy TGT AI search it. You will get the best notes and even sample papers too.
Subha subha kon kon dekh rha h 😂
😂
Bhai abhi abhi shuru ki 😂
Us bro us 😂
Us moment hogya bhaii😂
Yesss mene bhi 5 baje se suru ki h
Subha wale like karo 😂 jinho ne saal se kuch be nahi pada meri tarhe 😂😂
@@anmolthind5257 yes 😂😂
Different ways to visulise data
1. Bullet graphs
2. Histogram
3. Tree diagram
4. Scatterplot and etc
Pie chart also
@@eshagahlot1478 yes pie chart is also a part of visulise data
1 like = 99.5 marks in AI
Nahi cahiya
Bahi 5 mark tho school walo ne kat diye notebook ke chakkar me tu bol raha hai 99.5 ayega 🥲
Intro to AI - 0:37
Project cycle - 20:47
Data science - 1:07:42
Computer Vision- 1:13:57
NLP - 1:35:48
Evaluation will have special class
Intro to AI - 0:37
Project cycle - 20:47
Data science - 1:07:42
Computer Vision- 1:13:57
NLP - 1:35:48
Evaluation will have special class
Intro to AI - 0:37
Project cycle - 20:47
Data science - 1:07:42
Computer Vision- 1:13:57
NLP - 1:35:48
Evaluation will have special class
KAL JISKA AI KA PAER HAI LIKE KARO HOPE YOU GRT 90+
😊😊
Thank you ☺️
Thankyou Bhaiya, I have shared it with all my friends ❤❤❤❤
Hlo suno unhone Jo leave kia h topic wo aynge?
Only evaluation @@Bhavyaa5128
Kyun bhai fail hone k liye 😂
Saara wahi aaya jo padhaya tha, and morning wale session se toh 95% paper aaya
Kiska kiska maths ka paper khrab gya😢
Easy tha yr paper
solid gaya paper💪
Easy to tha
But set 3 was hard... mine was 30/3/3
@@tarasakumari5802 standard?
Radhe radhe…….🌸💘
radhee radhee
Starting now!🤌🏼😅
Same😂
Same here 😂
Same 😂😂
Same
Sameee!!💀😂
THANKS Bhaiya SO MUCH much .
Ab to AI bhi jala denge 🔥🔥🔥
Let's goooo
Bas 20 min aur uska baad freedom
like karo for 100/100.
Successfully disliked
May you get failed in your upcoming entrance / any important exams😄
@@unknowm56 Bhai 😂😂😂 Sigma spotted 👍🏻❤️
@@unknowm56by the way shono sharingan 👀🧑🎤
@@PINAKINDASH-10Aand...... my chakra got drained
Bhaiya aap hi ho jo AI ki video bnaye Ho youtube mai Thank you ❤️❤️
Jisne comment like nhii kiya fail h vooo
😶😶
Agr is comment jis jis ne like Kiya vo pkkka ai m 50/50 score krega 👍🏻
Agar nahi aye to
.
🙏🙏
finally starting
Me too broo
He literally teaches us like a big brother☺️❤️ thanks bhaiya🫶🏻
Intro to AI - 0:37
Project cycle - 20:47
Data science - 1:07:42
Computer Vision- 1:13:57
NLP - 1:35:48
@@angryarmaangaming8764 nice
1 subscribe =50 in computer
1 gnore=fail ☠️☠️
Bhai risk mat le aur subscribe karde waise bhi tere ache marks nahi aayenge😅😅
please respectfully stfu and stop trying to get likes 💀
Ye wo Banda ha jo 10th class ma do bar fail hogya ha
@@ShubhankarVerma-p1c haha roast krdiya bhiyyy
good morning bhai jo jo log na soke mar rhe hai mere saath abhi🥲
Koii nhi bhaiii tuhh akela nhi hainn!
Hamne bhi pheli baari dekhi hai AI💀😭
THANK YOU SIR🕺🏻❤️🩹bachaa liyaa apne!
Kon kon AI ka book abb touch kar raha he 😂😂
Bhai mee🗿
Kharida he nahi😂touch kya karu😢😅
@@sahilbhardwaj4806 same Bhai
Book nai kharidi ha bahi touch kaha se Karu😎
So actually i have AI exam tomorrow morning and I am watching this video at 10:30 PM.😅
Bro me 2 bs aacha marks aa jaye
Mai to 11 baje dekh rha
40 aa jaye bas chalega
Thank you so much bro this session of yours helped me in completing ai in just few hours ❤🙏
All the best !
Jo like karega use 50/50 aaye ge❤🎉🎉🎉😊😊😊
19:54 AI for kids❌️ AI fuck its✅️
2:12:28 The Ninja technique to learn is" stop cost labelling. " Here in word 'stop' 'S' is sentence segmentation and ''to' is tokenization and the complete word stop is stop word. In sentence cost 'co' is common case and 'st' is stemming . And the labelling early is for lemmatisation. 2:12:29
Shobit nirwan se jobhi pdha tha online . Usme se kuchhh bhi nhi aaya bs 30% aaya tha sehmat ho toh like kro yrr🙌😥 jiska paper achha nhi gya itni mehnat ke baad bhi..ek like toh bnta h❤
Maine to bs ncert ki paper acha ho gya
Sahi bola bhai , Mera bhi paper bigda
Bhai ncert na krke shobhit nirwan se pdhne ko bola sbko usse pdhne ke baad bhi achha paper nhi gya usne un que ki possibility btai ki 90% chance aane ke..jo aaye hi nhi ..Woh que bhi bhot saare the jo hmne usse pdhe the
Tum kyu padhe usse , time barbaad Kara tumne lmao
5 chapters usne 8 ghanto me karwaye
Chhod aage junior ko bhi mna krna h usse pdhne ko...Yeh smjho sabse achha PW h🥺..digraj sir achha padhate h pr detail m jiski jarurat nhi..Unse achha shubam pathak h ..Waise sbki choice pdhne ki alag alag teachers se hoti h❤
Timestamp
Intro to AI - 0:37
Project Cycle - 20:48
Data Science - 1:07:43
Computer Vision - 1:13:58
NLP - 1:35:47
Thank you so much Bhaiya
1:08:32 baar baar patterns change karke jeet gaya 😅
abhi night m karne kon baitha h ?
Dont worry guyz im with u whole night ✌
Me
mee too 😭😭😭 I didn't study anything till now!!!!😭😭
Us😂😂
Us bro us
us bro us
Andi mandi shandi jisne like nhi kiya uski marksheet mein 0 number aaenge..😂😂😂
👎
Bheek maangna kabse start kiya
Kon kon paper ke ek din pehle dekh raha hh😂😂
Mai
9.45
Mai😅
Hij
00:02 - Complete AI Class 10 Part B in one shot with revision
02:31 - AI encompasses machine learning and deep learning as subsets.
06:34 - Computer vision and natural language processing in AI
08:48 - Ethical use of AI and its implications
12:53 - Reasons for collecting data and types of sensors
15:08 - Importance of data privacy and consent when installing apps
19:11 - Introduction to AI impacts on jobs and AI for Kids
21:04 - Understanding data acquisition and project cycle in AI
24:56 - Understanding the four W's for efficient problem solving
26:49 - Understanding the problem statement template
30:18 - Importance of authentic and relevant data for efficient AI projects
32:26 - Big data concepts and web scraping
36:34 - Creating a News API function in Python
38:36 - Government data authenticity and exploration importance
42:17 - Training the machine on a different data set will result in failure and no learning.
44:11 - Supervised learning involves classification and regression based on labeled dataset.
48:01 - Regression works on continuous data beyond classification.
50:14 - Explaining the concept and difference between supervised and unsupervised learning.
55:33 - Introduction to reinforcement learning and neural networks
57:20 - Larger neural networks perform better with more data.
1:01:10 - Neural networks work through interconnected layers of nodes
1:03:04 - Hidden layers in AI perform complex processing
1:06:43 - Data is the new gold for AI as it learns and operates based on data
1:08:27 - Applications of Data Science in financial risk assessment and genetics
1:12:36 - Understanding the significance of Project Cycle Revisiting
1:14:20 - Utilizing computer vision in retail shops for inventory management
1:18:58 - OCR and Computer Vision models in AI
1:21:07 - Object detection and identification in computer vision
1:25:16 - Understanding pixel dimension and resolution
1:27:08 - Understanding resolution in terms of megapixels and pixel value range.
1:31:12 - Understanding pixel values and grayscale images
1:33:10 - Combining red, green, and blue colors to create different shades and colors
1:37:06 - Natural Language Processing (NLP) is a subfield of AI focusing on understanding human language
1:39:11 - Understanding Sentimental Analysis and its importance.
1:43:58 - AI assistants can make our lives easier by helping with tasks.
1:45:50 - Creating a chatbot for emotional support
1:49:51 - Understanding degree one and degree four graphs and their representation
1:51:56 - Underfitting and Overfitting in AI models
1:56:09 - AI vs Human Language Processing
1:58:24 - Understanding the process of brain processing and computer language conversion.
2:02:26 - Understanding the interpretation of machine based on context
2:04:30 - Text normalization process overview
2:08:28 - Understanding Stop Words in Natural Language Processing
2:10:25 - Understanding Stemming and Lemmatization in AI Text Processing
2:14:21 - Bag of Words process in text normalization.
2:16:12 - Importance of stop words in AI class 10
2:19:48 - Creating a Document Vector Table for a Corpus
2:21:25 - Understanding the relationship between frequency and value of words
2:25:04 - Understanding Document Frequency in AI Class 10
2:27:03 - Understanding Term Frequency and Inverse Document Frequency (TF IDF)
2:31:25 - Understanding TF-IDF and its Applications
2:33:47 - Good luck for the exams!
1:42:00 bhai best example hai..😂😂
Part B.....😅
main aapka swagat hai 😊😅
Kal kiska kiska paper hai AI ka like Karo 😢
😅
Sabka kal hi hoga na obviously, like mangne aajate alag alag tareeke se
mera
@@lakshyakumar- shayad voh agle saal ke baccho ke liye bol rahi hogi
@@mitaligangopadhyay578 not possible
Thank you bhaiya mai apne preboards 1 ke ek din pahale apki video dekh kar gayi thi and mere 41 marks aa gaye 50 mai se 😊❤🥳✨🥰🫂🌞💗💐🎁💗🎁🥳
Very underrated channel.
By the way you are great teacher bhaiya❤
pre board 1 aur 2 me to full aagaye aapki video dekhkar ab bas board me bhi aajaaye
Kon kon ab tak AI ka book ni kharda h
Bhai maine to notebook bhi nhi banayi
Same
Us bhai us
Me
Muje to aaj hi pata chala ki mera pass AI Naam ka subject ha 💀
SCIENCE - PRASHANT BHAIYA MATHS - SHOBHIT BHAIYA SST - DIGRAJ SIR AI - LALIT BHAIYA
Perso exam hai 🫡💯✅ KV aur CBSE aur ABPS wale like karo........warna fail 😂🫡💯
The quality of your videos is top notch! You deserve more support.
Exam 10 Baje hai aur Mai ise 5 baje dekh raha hu
Me too 😀
Me tooo 😂
Mai bhi
Watching 5 hourse before exam 😊😂
Same😂
SIR PLS MOST IMPORTANT QUESTIONS OR MOST EXPECTED QUESTIONS
This channel is the only hope for class 10th AI students😭✨🙏
Kya Ai ke marks se maths m pass ho jaenge kya
..?
Ys
Fail hua toh compartment daynaaa padaygaa
Bahi mera bas 30 min reh gya hai uske baad notea dhar... Dhar. Padhlunga😂 aur question answer raat lunga and sojaunga koi bkl hoga jo like nhi krega
Bhai abhi exam khatam hone ke bad AP please Java/C++/C sharp/python sikhadona with the most interesting series.
1:36:05 yes do it we can got 90 + number
Started wala reply Karo 😂
Me
Insta id do😂
Abe ye ladka hai
Sir, My AI pre board is on 1st November.
Please make a one shot video of the latest syllabus
2:00:10 bro went dank..💀
Hope everyone get 45+/50 by watching this .....
So helpful for Tomorrow exam❤
Kiska kiska maths ka exam acha nahi gya 😢😢
0:37
20:47
1:07:42
1:13:57
1:35:48
Thank you bhaiya for this literally I was just dependent on you for AI knowing there is no video for us students who have opted for Ai from which we can revise from.
Once again thank you 💗✨
Thanks bhaiya, kal exam hai, bhot acha explain karte ho (unlike school teachers who just show off their degree)❤
Abhi raat ko 2x pe padhne betha hun 🙂
Us
Who is not study yet
Still not bhai 💀
Me started listening at 10:30 p.m and tommorow is my exam😂
Sahi me yaar😂😂😂😅😅
Jo mera comment like krega usko 50 out of 50 aysga pakka
raat k 12 baje dekh raha hu subhe exam se pahele
same bhai
Thanks bhaiya! Really helped a lot one day before exam.. ❤🫡
Best Yt for AI
2:00:16 kuch zyada hi alag meaning ho gya!💀
Wahi na Bhai 💀
AARAMBHIAN 🔥
morning mei class hogi kyaa
#Be positive paper acha hi hoga AI ka bhi 🌸. Like kro agr tumne bhi AI KI BOOK nhi li😂.
2:03:45 english Poems be like 😂😂
thankyou sir for being r educator
All the best for those who start now😂😂
Sab kuch thik chal rha taa phir math kaa set -2 mil gya 🤡
Kaha h?
Sorryyy math ki jagah a.i likh diya ,🤡
Life saving vedio ❤️ best for last minute studies ! Thank you ❤️
Thanku bhaiya aapki vajah se mere pre board me 50/50 aaye❤
Rat ke 11:10 pe dekh rha hun sharm nhi arhi or kal paper ha😂
Ma bhi bhai
same bhai🤣👾
1:26:00 and me .. who is studying the whole damn book for the first time few hours before the exam 🥲💀👍🏻
Mere toh book hee chori hogaya schol meh :(
@janhavisinha.77 me to brooo
40:04 STOCK MARKET ❤❤❤
mai abhi 42:01 yehi pr hu sath mai khtm hogi ham dono ki video lol🍻🤣
Pdhle chupchap aya bada stock market 😭😭😭
Please iska pdf de do discription main 😊😊😊
Thank u so much bhaiya.... ap hi ho jinhone AI ke liye class li vrna to mostly youtube pr sb IT ke liye hi lectures le rhe the hmne to hope kho di thi ki koi AI padhaega .....thank u so much bhaiya for your hardwork....!!..!
Mene to ab hi padhna start kara hai😅
Ramadan Mubarak ❤
same bro
Same with me😅
thank you bhaiya.
ab thode to marks aa hi jaege!
❤