Types of Machine Learning for Beginners | Types of Machine learning in Hindi | Types of ML in Depth

[@BHAVISHYAKOLLOORI]

03:28 There are 4 types of machine learning: supervised, unsupervised, semi-supervised, and reinforcement learning. 06:56 Supervised machine learning involves understanding the relationship between input and output data and making predictions on new input. 10:24 Supervised machine learning involves predicting a numerical value or a category based on input and output data. 13:52 Clustering and dimensionality reduction are powerful techniques in machine learning. 17:20 Dimensionality reduction is a powerful technique used to reduce the number of features in a dataset. 20:48 Unsupervised learning has 4 important use cases. 24:16 Semi-supervised learning reduces the need for manual labeling of data by automatically labeling most of the data points 27:42 Reinforcement learning is a technique where an agent learns to maximize rewards and minimize punishment in a given environment.

[@Howto-ty4ru]

You teach as if you are teaching a middle school child. Your choice of words and examples are very basic and yet very powerful to grab the idea. Great teaching style.

[@AkashKiVaani]

I got to know about your channel yesterday only while searching for a good resource for data science. Since then, i have watched many videos at your channel. I just feel that i found a gem. Your teaching method is very concise which makes difficult topics understandable. I hope the whole 100 days ML series will be very good. Right now i am enjoying it and gained confidence. Thanks.

[@lamishajoshi7480]

Itne example deke hamare teachers padhane lag jaaye to... Very nice yrr.. example har cheez ka milna hi chahiye students ko

[@bankimdas9517]

Sir ! I'm out of words to appreciate your hardwork... You are awesome.. The way you described the minor things in detail , it's beyond imagination.. Never get this type of informative playlist in the whole KZbin except in your channel... I'm sure Saying Thanks would not be sufficient to credit your hardwork.... Still thanks for making this type of informative video.. Lots of people will definitely get benefit.👍👍👍

[@jainamdoshi7109]

I didn't even receive this type of information with paid courses he is truly a gem

[@rohitekka2674]

You're a brilliant educator! I have never walked away from a YT learning video this much confidence. Also, continuing my mission to complete the entire playlist!! Thanks alot!!

[@learn_with_rks]

I am very grateful to learn from you ❤❤❤ You taught the differences between all types of learning very well

[@rutvigohel5255]

I learn all ML algo but couldn't understand difference between supervised ML and Unsupervised ML! Revise ML with campusX and get it now!!! Thanks a lot man!

[@snigdhakumar1393]

Sir, your channel is very underrated. You are just too good! You made everything so easy to understand. You deserve much more recognition! On a scale of 1-10, I'll give this lecture series 10000!! You are a true gem!! Can never thank you enough for providing everything for free

[@vishalkumarpal9897]

bhai key explain kerte ho year sach me maza aa gya maine iske pahle bahot sari videos dekhi but kuch clear hi nhi ho rha tha but ye video ke baad ab lag rha h ki youtube se sach me kuch sikh sakta hua

[@MohiniGiri_07]

#DAY1 #ML starting my journey with this course hope after completing it i will definitely reach towards my goal #thankfultonitishsir

[@alitiabalmeda3005]

Its my request you to provide english subtitles for better understanding Its very useful🎉

[@PrithaMajumder]

Sir, Thanks a lot for This Amazing Lecture 🙂 Lecture - 3 Completed ✅

[@Tech_Charla]

You make it so easy to understand difference between Regression and Classification.

[@Places-s2r]

best teacher ever 📈

[@ilggaming321]

i purchased a udemy course for 4 k but was confused in some code glad funded this channel

[@jaideepbhatia2979]

Very clear & effective learning content with easy to understand examples. Thanks to our mentor for providing us focussed learning. Since these are new & evolving areas so I can understand the challenges here.

[@unityleveldesign4878]

You r to good. The way you explain the difficult topic is marvellous, only one thing is requested as a regular viewer that I need more no of frequent videos because I am plaining to finish the whole playlist in one day right, and after that there will be no content to watch. I know it is really tough to upload more video but If you can, definitely do that. Thanks again for this amazing content.

[@veenala2967]

PERFECT LEARNING!!! HATS OFF SIR!!!

[@PS_nestvlogs]

Nitish sir..awesome.. your channel is among the best tutorial for anybody who wants to pursue ML/DS. have been following your videos from past 2 months and when i see your subscriber count increasing it made me feel happy too :) keep doing the good work for the community :)

[@JJ_crafts]

I am looking for machine learning videos which have great content and good explanation from many weeks and my search stops here. Superb videos and thankyou for your efforts!!!!

[@Tech_Charla]

Great Way to let us understand the Machine Leaning, Thank you

[@Music2503-]

Your videos are so addictive...thank you sir

[@iam_shiv07]

I'm Revising Machine Learning From Your Playlist Sir, And I'm really learning some new things too, wish i would have found this playlist earlier... Anyway I'm gonna complete 100 days ( or maybe I will take less days 😅)

[@Simran_chaudhary854]

Itni achi explanation kai liyai thank you so much sir

[@lamishajoshi7480]

Best playlist on youtube

[@arjitsinghal3974]

Best explanantion who is devoted to teach , bhai love you aap great ho

[@tanmaysingh2005]

we need the techers like you ,, never ever give up in making videos regarding knowledge ok sir thanks for all your effort ,U R REALLY GOOD

[@vinaypritwani]

sir everything is so beautifully explained, I am speechless.

[@Knowledge10min]

You r brilliant educator.

[@durableplastics6713]

what an explanation with precise examples, u made it quite easy for me to understand. The examples you provided for each will forever be embedded in my mind for those algorithm.

[@AbhishekKumar-eh6zy]

Thankyou sir, It helped me alot to clear my concepts.

[@yashsaxena9313]

I think this playlist is inspired by " Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow " this book...and I'm loving this series.

[@campusx-official]

Yes, good book. Not the entire playlist though, just some initial theoretical parts

[@yashsaxena9313]

@@campusx-official You have nice explanation

[@nasirkhanSE]

I also started this book few days ago

[@learnenglish699]

wah g wah today is my 3 video..gold channel

[@zakishaikh7727]

This channel is going to be lit. Great work and keep going sir!

[@jatinnandwani6678]

Thanks!

[@SK-xv2qr]

You are really good at explaining things.

[@atifsalam6802]

Sir, you are simply awesome, and take my gratitude for your effort, superbbbbb 👍

[@Amitesh.Shrivastava]

awesome video ... explained in so simplistic manner that even a schoolgoer can understand ..Million thanks , please keep posting such serieses

[@Amitesh.Shrivastava]

Awesome explaination..just completed

[@playwithvihaan7601]

Simply outstanding.

[@grishmitaagrawal8496]

you teach so great !!!!!!!

[@rohinisingh6916]

Outstanding explanation sir 👏👏

[@rohankhatana5665]

Wonderful sir Your way of teaching is very good👍

[@uniformlearningandrandomco9731]

Mera search for machine learning pura hua ... Ureka ureka.....ML ... Same as buoyant force feel by archimedes.

[@alanvoltz1902]

I wish I got this video earlier great explanation

[@shagufta6732]

Sir, you have shared the knowledge in great way which is easy to understand. Is it possible to get a notes on this

[@khushipatil1577]

sir,youre just AMAZING!!

[@Scientist_Ritik_Tiwari]

Great teaching style 🙏🏻

[@ANKITVERMA42]

Thanks 🙏

[@sarthak-salunke]

Data reduction which is done in data preprocessing is same to dimensionality reduction?

[@fit_tubes_365]

Course Started : ML Lecture-01: 14/08/2024 Lecture-02: 14/08/2024 Lecture-03: 14/08/2024

[@TheTiwary]

Best explanation of ML. Keep it Up Sir ....

[@nishantdandwate9967]

Nice Explanation, appreciate your Hardwork, Greate Doing

[@shehzadrasool4863]

Amazon recommendation is supervised or unsupervised learning?

[@MrAprameya1980]

Wonderful Teaching

[@ABHISHEKGUPTA-vi8vh]

Hands on machine learning with sickirt learn and tenserflow book

[@gargigupta2844]

03:28 There are 4 types of machine learning: supervised, unsupervised, semi-supervised, and reinforcement learning. 06:56 Supervised machine learning involves understanding the relationship between input and output data and making predictions on new input. 10:24 Supervised machine learning involves predicting a numerical value or a category based on input and output data. 13:52 Clustering and dimensionality reduction are powerful techniques in machine learning. 17:20 Dimensionality reduction is a powerful technique used to reduce the number of features in a dataset. 20:48 Unsupervised learning has 4 important use cases. 24:16 Semi-supervised learning reduces the need for manual labeling of data by automatically labeling most of the data points 27:42 Reinforcement learning is a technique where an agent learns to maximize rewards and minimize punishment in a given environment.

[@prateekbhadauria7004]

excellent explanation sir

[@sachin2725]

Hello Sir, It is possible for you to make a video on all type of plots used in ML algorithms. How to draw pairplot, ggPlot, scatter, hist,kde on given dataset, which plot is best for which analysis, which points are imp to plot the plots, et

[@Gattu_g]

best teacher so far your teaching is amazing you explain everyting with such a simple way and realistic examples {can you make a specufic video on machine learning projects }

[@campusx-official]

Machine Learning Projects: kzbin.info/aero/PLKnIA16_RmvY5eP91BGPa0vXUYmIdtfPQ

[@Gattu_g]

@@campusx-official thank you

[@umbrellaeducation5993]

So very informative , thanks for lesson

[@mainakseal5027]

starting the journey

[@zkhan2023]

crystal clear sir

[@nishagera6051]

Thanks👍👍

[@puneetrai3599]

Gawd level explanations🛐🛐

[@nikhilsatija]

03:28 There are 4 types of machine learning: supervised, unsupervised, semi-supervised, and reinforcement learning. 06:56 Supervised machine learning involves understanding the relationship between input and output data and making predictions on new input. 10:24 Supervised machine learning involves predicting a numerical value or a category based on input and output data. 13:52 Clustering and dimensionality reduction are powerful techniques in machine learning. 17:20 Dimensionality reduction is a powerful technique used to reduce the number of features in a dataset. 20:48 Unsupervised learning has 4 important use cases. 24:16 Semi-supervised learning reduces the need for manual labeling of data by automatically labeling most of the data points 27:42 Reinforcement learning is a technique where an agent learns to maximize rewards and minimize punishment in a given environment. 03:28 There are 4 types of machine learning: supervised, unsupervised, semi-supervised, and reinforcement learning. 06:56 Supervised machine learning involves understanding the relationship between input and output data and making predictions on new input. 10:24 Supervised machine learning involves predicting a numerical value or a category based on input and output data. 13:52 Clustering and dimensionality reduction are powerful techniques in machine learning. 17:20 Dimensionality reduction is a powerful technique used to reduce the number of features in a dataset. 20:48 Unsupervised learning has 4 important use cases. 24:16 Semi-supervised learning reduces the need for manual labeling of data by automatically labeling most of the data points 27:42 Reinforcement learning is a technique where an agent learns to maximize rewards and minimize punishment in a given environment.

[@parayaswanthchakravarthi]

Bhaiya Tho What is Difference B/w Clustering and SemiSupervised because in Clustering u mark as Class 0,1 etc.. , in Semi Superwised Apne Bola Ki i will mark as name after Grouping

[@3daudiomusic540]

thank you sir for giving good content

[@ashitnayak1912]

Excellent .

[@jawadali1753]

amaizing , thank you so much

[@karangupta3491]

thank you sir for the content !

[@fiza_Aslam]

Day 3 Done .......😇😇😇

[@উড়ানSwapno]

Sir pls discuss physics informed neural network

[@atharva_g_vlogs]

UNDERSTOOD SIR

[@christopherely]

Is there an English version of this?

[@techsigmarobots]

Really Really Really Really Really Really Really Really Really Really Amezing

[@thedailymotivational]

Lecture-01: 15/09/2024 Lecture-02: 15/09/2024 Lecture-03: 15/09/2024

[@Up_74_LifeLensAdventures]

Thank You Sir,!

[@MuhammadJunaid-yr8jd]

Thank you so much

[@Pankaj_Khanal_Joshi]

Sir can you make ML series in english

[@JustPython]

Fantastic video bro

[@sujith892]

So impressed ❤

[@malviyapiyush1628]

Thanx a lot sir

[@jawadali1753]

so informative

[@sumonnath1819]

very informative. How do you work so hard sir?

[@pratikkhetmalis79]

Very nice sir 😊

[@nihalsingh6419]

Sir where can I get the notes of this lecture as it's difficult to pause and write Will be obliged iff u can share the notes

[@SoumyadipHazra-w1r]

So ML is all- about data and so it can never be 100 percent true right?

[@dipanjalrakshit8161]

Excellent ❤️❤️❤️

[@riddhidigital7604]

Hi sir, in your this entire playlist you covered each ML algorithm?

[@campusx-official]

Some algos are left, will cover them in future

[@Jaimin_Bariya]

Thank you, sir, :)

[@saurabhdas2234]

thanq it was so simple

[@sonalisahu693]

hiii

[@SHUBHAMSINGH-gh6ln]

How can we use PCA in unsupervised ML model. I mean PCA is used to identify the important parameters which is influencing our output but in Unsupervised learning we don't have any output so on what basis we will do PCA 😢

[@ratankj4402]

great sir

[@th3graduate292]

Thank you

[@rajeevranjan5007]

Brilliant.

[@mukul6426]

Hlo sir I am a new Lerner and doing a pridict rainfall in Machine learning can you provide me a coding for it 🥹 please how can I pridict rainfall performing all Regression and classification and decision tree method

[@tarunnegi7593]

😍😍 thanks

[@anjumshah8042]

Very nice 👍👍👍 keep it up❤️