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 RU-vid 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.👍👍👍
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.
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.
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!!
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.
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
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!
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
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.
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!!!!
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 :)
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.
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.
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 😅)
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
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
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 }
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 😢
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.
