@RahulSingh-p4c2s
Ek Bihari sau pe bhari, love that hustle bro!
@8koi139
Finally got a complete overview in my notes! TNX!!
@armanmujawar8401
Crystal clear explaination well taught genius ✌💯
@jeetpramanik0
00:01 Introduction to Machine Learning Fundamentals 02:02 Machine learning involves machines learning from previous data to make predictions without being explicitly programmed. 06:32 Machine learning is widely used across industries. 08:51 Introduction to machine learning workflow 13:24 Classification problem involves determining if an image is a cat or non-cat 15:40 Supervised learning involves regression and classification tasks 19:47 Reinforcement learning and its process 21:45 Challenges with insufficient training data 25:38 Overfitting means model performs well on training data but does not generalize well on testing data. 27:25 Cross validation in machine learning Crafted by Merlin AI.
@saptathirtachoudhury4158
Nice explanation with a next-level accent 😂
@МаньКыонгНгуен
So helpful! Thank you so much.
@shinosukenohara.123
Bro, from where did u complete your DSA ?
@riajikbal2938
I want to become a data scientist so how much math's is important to learn ??
@vishruth8708
when input variable is x and Y(target variable) is more than 1 value ,predection can be done?
@armanmujawar8401
What's a descrete value?
@codingsingh4156
that fake accent 🤣🤣🤣🤣🤣🤣🤣
@blankftw7388