This is world class content.

Sir I have a question in this you only use the lightgbm model of machine learning but in the experiment stage we have to play with different models so we can select the best model how can we deal with multiple models in a single project and choose the best one as you shown in step 2 mlfow how you track and monitor multiple model ??

We extend our heartfelt gratitude to the Great and Amazing God for bestowing upon you abundant happiness in life. We sincerely appreciate the precious time you have dedicated to us, with warm regards from Pakistan.

great lec as always ❤❤❤❤❤❤`

You are the best teacher of Data Science.

Could you please make video on DL projects,and also llm finetuning

Damm what in depth explaination,I had bought krish naiks udemy course in which transformers is taught in a section and i couldnt understand what he was saying ,so i came here ,man i wish i had learned complete tranformers from here,and I might actually re learn everything using this playlist(transformer).Thank you so much for this indepth intuition

excellent!

Corrected Code....use this👇👇👇 (X_train, y_train), (X_test, y_test) = imdb.load_data(num_words=10000) X_train = pad_sequences(X_train, padding='post', maxlen=50) X_test = pad_sequences(X_test, padding='post', maxlen=50) model = Sequential() model.add(Embedding(input_dim=10000, output_dim=2, input_shape=(50,))) model.add(SimpleRNN(32, return_sequences=False)) model.add(Dense(1, activation='sigmoid')) model.summary() model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy']) model.fit(X_train, y_train, validation_data=(X_test, y_test), epochs=10)

Will You Continue Deep Learning with Pytorch Just like you did in the 100 days of Deep Learning with Tensorflow? It will be Very Helpful ❤ Thanks for continuing the playlist.

The best explanation I have seen in the internet and offline. Thanks a lot.

Incredibly delivered the concept in very clear manner. Loved it sir!!! Great keep it up sir

Kya bawli chiz hai yaar😵‍💫Perfect!!!😍

sir pls suggest from which research papers should we begin? and how to decide how to study them...

nice video ! Clearly explained

🤩🤩🤩🤩

Nice video !

thanksss soo muchh

Best of the best video

Code to check intersection point class Point: def __init__(self,x,y): self.x_cod = x self.y_cod = y self.z = 0 def __str__(self): return "<{},{}>".format(self.x_cod,self.y_cod) def euclidean_distance(self,other): return ((self.x_cod - other.x_cod)**2 + (self.y_cod - other.y_cod)**2)**0.5 def distance_from_origine(self): # return ((self.x_cod - 0 )**2 + (self.y_cod - 0 )**2)**0.5 >> (self.x_cod**2 + self.y_cod**2)**0.5 return self.euclidean_distance(Point(0,0)) class Line: def __init__(self,A,B,C): self.A = A self.B = B self.C = C def __str__(self): return "{}x + {}y + {} = 0".format(self.A,self.B,self.C) def point_on_line(line,point): if line.A*point.x_cod + line.B*point.y_cod + line.C == 0: return "Point lies on line" else: return "Point elsewhere not on line" def shortest_distance(line,point): # d = |Ax1 + By1 + C|]/ √(A**2 + B**2) return round((abs(line.A*point.x_cod + line.B*point.y_cod + line.C)/ (line.A**2 + line.B**2)**0.5),2) def intersection_check(line,line1): # determinant of the coefficient matrix is D a1.b2 - a2b1 id D == 0 lines are either parallel or coincident line.D = line.A*line1.B - line1.A*line.B if line.D == 0: return "Line are either parallel or coincident" else: line.D_x = line.C*line1.B -line1.C*line.B line.D_y = line.A*line1.C -line1.A*line.C return "Lines intersect at coordinate <{},{}>".format((line.D_x/line.D),(line.D_y/line.D)) L2 = Line(1,2,-1) L3 = Line(2,3,-5) print(L1) print(L3) L2.intersection_check(L3)

1 like is not enough...1000000 likes for this video and hardwork👍👍

I guess you are wrong at something. I am a fan of yours and been following you for a long time; However in this video I found a mistake, maybe I am wrong so please correct me: for instance at kzbin.info/www/bejne/jn-7q4mcftmKfbssi=cmbLuIazIkyAvILS&t=1674 - for the perceptron transformation of line 4x+7y+17 = 0 the point (1,1) is in +ve direction and if I want it to be moved to the -ve side, just by substracting (1,1,1) from coefficients will make the line equation 3x+6y+16 = 0 or even adding (1,1,1) from coefficients will make the line equation 5x+8y+18 = 0 both these lines still have (1,1) in the +ve direction. There might be some other transformation involved I guess, but if I am wrong please correct me, I would be grateful.

also please on seq2seq

Hi, Nitish sir. I hope you are doing great. Could you please create an end-to-end project using transformers? It would help us a lot.

Isme ye saare features ko implement krne ke liye konsa platform use krna hai ?

Hi Sir I am currently working as a Django developer with over 2.5 years of experience in Django and DRF (Django Rest Framework). I am looking to enhance my skills and am considering transitioning into the field of LLMs (Large Language Models) and Generative AI. Although I do not have a formal technical degree, such as a BTech or BCA, I am already working as a developer and am comfortable with understanding and writing code. My question is: how challenging would it be for someone without a technical degree to find a job in the LLM and Generative AI fields? I recently watched some of your KZbin videos on PyTorch, where you introduced concepts related to LLMs and Generative AI. I found your explanations to be very clear and easy to follow, which has encouraged me to explore this area further. I would appreciate any advice or guidance you can provide. Thank you!

this was uploaded only 3 years ago , i am watching this after chatgpt became a norm , progress ig

@3:14 Aren't Foundation Models are trained to gain a broad understanding ?

The only teacher who taught us in any condition, even noise, as proven by this video. He is the best teacher, providing perfect explanations even in challenging conditions. salute sir......

awesome man, this shows how much dedication you have given to this

anyone please share the link of the previous videos, in which the left out topics have been covered

It wss so informative

Pillow libraries install hua but Mera error araha

Bhai did you make video about matrix differention you mention in the vidoe ? If yes kindly please provide the link

Hi Team...Thanks for the content Is there any regex video on Campusx you tube channel

where we get the solution of these task

Calculas and probability for machine learning is or bhi vedio lao na

ALL THESE FILES ARE AVILAIBLE AT KAGGLE JUST SEARCH THE NAME YOU WILL GET IT

superb sir

Also continue MLOPS playlist

Namaste sir aap ne Jo machine learning ki book bataye hai us book ka writer aur publication name teeno book ka Bata deejiye please

Sir you are amazing

YoiTube data set kha he?

Bhaiya apke jaisa koi nahi 🔥🔥

Bhai sahab hat's off to you, kyaa padhaya hai, never imagine things like that, how smoothly and clearly perform the every topic, itna to koi nahi padhata, me kisi se bhi bet lagaa sakta hu, isse accha kisi ne youtube par padhaya ho to, aur shayd hi paid course me bhi ye chize naa batate ho, but yaa you doing such great job, mazaa aa gaya padh ke jabki me already ye sab janta hu phir bhi maza aa gaya, thanks ❤

Today it has been proved that not everyone will get God.

i study masters in USA in AI, your way of explanation is far better than any university lecture.

question and Answer System for E commerce 😊❤

Very nice explanation This 100 days of deep learning videos has developed my interest in deep learning Thank you so much sir 😊

I must say, sir you teach way better than Krish Naik.