Jinx!~

20. EE/ML

[Jinx!~ @Jinx437]

Day 13 of ML:-

-> Did Lecture 2 of MLOps. It was on Git and GitHub (good revision as I don't use them that much).
-> Covered Encoder Decoder and Attention Mechanism (Bahdanau).

[Jinx!~ @Jinx437]

Day 12 of ML:-

-> Started MLOps and watched one lecture.
-> Studied GRUs (Gated Recurrent Units) and the maths behind them.
-> took too much time for this

[Jinx!~ @Jinx437]

@Abhip44 nice.

[Jinx!~ @Jinx437]

Day 11 of ML:-

-> Studied LSTMs and understood how they overcame some limitations of RNNs.
-> Built and trained an LSTM model for sentiment analysis on the IMDb 50K movie reviews dataset.

[Jinx!~ @Jinx437]

Day 10 of ML:-

-> Built an NLP pipeline using text preprocessing and Word2Vec.
-> Started RNNs and read some notes about them.
-> Have slowed down a bit on NLP 🥲

[Jinx!~ @Jinx437]

@Abhip44 Ohh,I guess this is the right time to start.

[Jinx!~ @Jinx437]

@Arnesh_24 Yeah bro 🔥🙂‍↕️

[Jinx!~ @Jinx437]

Day 12 of ML:-

-> Started MLOps and watched one lecture.
-> Studied GRUs (Gated Recurrent Units) and the maths behind them.
-> took too much time for this

[Jinx!~ @Jinx437]

Day 11 of ML:-

-> Studied LSTMs and understood how they overcame some limitations of RNNs.
-> Built and trained an LSTM model for sentiment analysis on the IMDb 50K movie reviews dataset.

[Jinx!~ @Jinx437]

You could follow campusx for Ml,DL and even NLP though you have to learn Pytorch from docs bcz he teaches in tensorflow.
lol I have studied dl,NLP in the past but due to some reason I had to stop it for 4-5 months so just revising and studying what I forgot(lol mostly things)
These things can take time if you're not familiar with them.

[Jinx!~ @Jinx437]

@metaneurons Appreciate it man🙂‍↕️

[Jinx!~ @Jinx437]

@yellow_void22 Thanks bro 🔥🙂‍↕️

[Jinx!~ @Jinx437]

@Divyansh91565 Oh

[Jinx!~ @Jinx437]

@Arnesh_24 Yeah bro 🔥

[Jinx!~ @Jinx437]

@PhantomC0der Krish naik NLP playlist and campusx Pytorch one

[Jinx!~ @Jinx437]

@yellow_void22 🥲🫂

[Jinx!~ @Jinx437]

No ML update today guys!!

[Jinx!~ @Jinx437]

Day 10 of ML:-

-> Built an NLP pipeline using text preprocessing and Word2Vec.
-> Started RNNs and read some notes about them.
-> Have slowed down a bit on NLP 🥲

[Jinx!~ @Jinx437]

Day 9 of ML:-

-> Studied TFIDF and Word Embeddings
-> Learned about Word2Vec and its two architectures, CBOW (Continuous Bag of Words) and Skip-Gram

[Jinx!~ @Jinx437]

@aditya4f what is this app?

[Jinx!~ @Jinx437]

Day 9 of ML:-

-> Studied TFIDF and Word Embeddings
-> Learned about Word2Vec and its two architectures, CBOW (Continuous Bag of Words) and Skip-Gram

[Jinx!~ @Jinx437]

Day 8 of ML:-

-> Started NLP and watched 2 lectures.
-> Studied and applied text preprocessing techniques like tokenization, stemming,
lemmatization and stopword removal.
-> Learned Bag of Words (BoW) and N grams.
-> Could have done more today.

[Jinx!~ @Jinx437]

@HiteshNainOG this is good,better than me lol

[Jinx!~ @Jinx437]

@AnshikaK7 I'm*

[Jinx!~ @Jinx437]

@AnshikaK7 college mein certificate dekhna hoga shyad se.
Khudh bhi toh in interested likh rhi lol😭