Gate DA 2027

How to study for gate 2027 data science, to score around 60 marks.

What topics to not miss, what topic can I skip.

Any tips are welcomed.

The problem with me is that I don’t have enough resources like I don’t know from where to practice questions.

Could you please guide me?

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u/daystar-111 — 4 days ago

Looking for abstract philosophical topics to write about

I’m looking for philosophical questions or abstract topics to write about.

Not topics like “What did Socrates believe?” or “Explain existentialism.”

I’m more interested in original questions that make you stop and think, things about identity, consciousness, time, morality, memory, perception, meaning, language, reality, emotions, or human nature.

The more introspective or reflective, the better. I’d especially love questions that don’t have a clear right or wrong answer and could be explored from multiple perspectives.

What’s the most interesting philosophical question you’ve ever come across?

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u/daystar-111 — 8 days ago

How to substack

I want to start writing on substack but I don’t really know what to write or post? Do you have any general idea that what exactly we can post?

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u/daystar-111 — 9 days ago

Lessons learned as a Taurus

  1. Worth is something to realise within and not to search outside.

  2. My value lies is how I treat myself and knowing who I am, and not what others have to say or think about me.

  3. Wanting comfort is not being lazy. It’s wanting to feel safe and grounded.

  4. Rest is equally important and work and there shouldn’t be any guilt surrounded with it.

  5. Being self reliant has made me feel much more confident and made me feel connected to myself. It helped me get over the validation and attention seeking traps.

  6. Overgiving only takes away my energy and does no good. Instead I should build abundance within and then give.

  7. Charity beings at home.

  8. If only I love myself then I can love others.

  9. It’s okay to not chase loud or chaotic stuff. It’s okay to be boring and predictable.

  10. I don’t have much quantity but what I have is of quality. So maybe that’s a win after all.

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u/daystar-111 — 10 days ago

Taurus and scarcity don’t go well together

Taurus represents resources and it thereby represents abundance. Anything that you lack - you cannot give and therefore it is very important for people who have prominent taurus placements to not have scarcity.

Something that does not align with the Taurus energy is scarcity of any kind. Let’s say if you have scarcity of anything, you cannot give that to others, you can only give things to others if you have that in abundance, if you have enough resources, only then you can provide for others.

So here are certain things that as a Taurus person or as a prominent Taurus placement you should never do -

1. Never give when you lack ( if you lack anything, if your needs aren’t fulfilled, just hold that thing for yourself first before sharing and giving)

Give yourself the love first before sharing or wanting that from others.
Give yourself the care first.
Give yourself the respect you think you deserve first.
It’ll make you confident and grounded.

2. Never have lack mentality/ mindset, always try to do more of what you like and try to add more value to yourself for yourself and not for attention or validation. If you think “ I wish I was more graceful and only then I’d feel I’m using my full potential” then start with simple movements, watch ballet dancer or gymnasts and follow small routines.

As a taurus, you thrive well when you rely onto your own energy because you have the energy of creation and abundance. You can create the abundance for yourself that nobody can.
This is exactly why Taurus’s are seen as reliable people because they are rooted in themselves thereby making them feel more trustworthy and reliant.

3. Only be emotionally available if you’re emotionally fulfilled within yourself. If you tend to be too emotionally available for people who don’t care about you, you’ll feel instantly drained even physically tired or hungry. If you’re not emotionally feeling good you should not try to over extend yourself to help others. It’s okay you’re a human too it’s not selfish to focus on your needs.

These are just few things that came to my mind. Feel free to comment down your thoughts and experiences!
This may or may not be true for every taurus. Just take what resonates.

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u/daystar-111 — 10 days ago

Best books or resources for ML and data science

I’m looking for advanced ML and Data Science resources (books, courses, blogs, papers, etc.)

To clarify: I’m not looking for resources that only explain ML concepts at a superficial level. I already understand the basics and common algorithms.

What I want to learn is:
- The core mechanisms and mathematics behind different models
- Why a model works the way it does
- When to use one model over another
- Model assumptions, strengths, and limitations
- Feature engineering and data preprocessing decisions
- Hyperparameter tuning and optimization strategies
- Model evaluation, error analysis, and troubleshooting

Basically, I’m looking for resources that teach how experienced ML practitioners think and make modeling decisions, rather than just introducing algorithms.

What books, courses, blogs, papers, or other resources helped you reach that level of understanding?

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u/daystar-111 — 14 days ago

My lazy book reading setup

I don’t have a yellow lamp but I do have a white light lamp (but ofc I can buy a yellow light and use that but I haven’t yet)…so I did the next best thing

I used my yellow shirt to cover the white light lamp and tadaaa ✨ <laughing>

This isn’t even aesthetic but it’s real and guys I highly recommend this

Last night around 11pm I picked up this book and it was such a delightful experience <chefs kiss>

Currently on page 30 somewhere and it seems like I’m going to finish this within two days or so

Happy reading…!!

u/daystar-111 — 16 days ago

Regression didn’t work, classification didn’t work. What should I do?

I have a dataset with ~100 observations, mostly Likert-scale variables and demographic information. The target is bioaerosol concentration, which is highly skewed and ranges into the millions.

Initially, I treated it as a regression problem, but results were poor.
Then I converted the outcome into Low/Medium/High classes using percentiles and tried Logistic Regression, Random Forest, CatBoost, etc.
The best accuracy I got was around 76%.

At this point, I’m not sure if:
I’m using the wrong modelling approach,
the dataset is too small,
or there simply isn’t enough signal in the predictors.
What would you do with this dataset? Is there a better modelling strategy I should try, or should I accept that the data may not support a strong predictive model?

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u/daystar-111 — 17 days ago

Help! 100-row dataset-regression failed, classification failed. What would you do?

I have a dataset with only ~100 observations.

Predictors are mostly:

- Likert-scale survey responses (ordinal variables)
- Household demographics (occupancy count, ages, time spent at home, etc.)
- A few environmental/household characteristics

The target variable is bioaerosol concentration, which is continuous but highly skewed and ranges into the hundreds of thousands/millions.

The original plan was to treat this as a regression problem, but most predictors are ordinal, sample size is small, and relationships appear weak. The regression results have not been very convincing.

As an alternative, we converted bioaerosol concentration into three classes (Low, Medium, High) using percentiles and treated it as a classification problem.

I then tried:
Logistic/Multinomial Logistic Regression
Random Forest
XGBoost/CatBoost and similar models

The best performance I obtained was around 76% accuracy, which doesn’t seem particularly strong.

At this point I’m unsure whether:
The dataset is simply too small/noisy
The predictors do not contain enough signal
I’m using the wrong modelling strategy altogether
If your goal was to build the best possible model from this dataset, what would you try next?

Would you:
Use GLMs (Gamma, Tweedie, etc.)?
Create latent factors/PCA from the Likert variables?
Use clustering before modelling?
Use ordinal models?
Focus more on explainability than prediction?
I’m looking for realistic advice on what can and cannot be achieved with a dataset like this.

Am I trying to force predictive modelling onto a dataset that simply doesn’t contain enough informations?

PLEASEEE HELP WHAT TO DO OUT OF THIS!

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u/daystar-111 — 17 days ago
▲ 1.0k r/Romantasy

Romantasy like this

I’m looking for fantasy recommendations and I’m slowly realizing that I may not actually be an epic fantasy reader.
I recently got interested in fantasy after watching LOTR and staring at the giant world map on my wall, but I’ve noticed that what I’m craving isn’t dragons, giant wars, space operas, or complicated magic systems.

The vibe I’m looking for is:
🌿 forests
🌧️ rain
📚 dark academia
🍄 folklore
☕ tea shops and libraries
🗺️ exploration and wonder
🕯️ candlelight
✨ whimsical magic
🍂 autumn vibes
🌙 dreamy atmosphere

I love books that feel immersive and magical rather than action-heavy.

Romance is welcome (and honestly preferred), especially if it has:
he falls first
protective/devoted hero
gentle, kind heroine
slow burn
moderate spice is fine

I’m not currently looking for:
heavy sci-fi
dragons as a major focus
grimdark fantasy
endless battle sequences
huge 10+ book commitments
Standalone, duologies, and trilogies are ideal.

Basically, if the book feels like wandering through an enchanted forest with a journal in one hand and a cup of tea in the other, I probably want to read it.
What would you recommend?

u/daystar-111 — 20 days ago

Romantasy that feels like this

I’m looking for fantasy recommendations and I’m slowly realizing that I may not actually be an epic fantasy reader.
I recently got interested in fantasy after watching LOTR and staring at the giant world map on my wall, but I’ve noticed that what I’m craving isn’t dragons, giant wars, space operas, or complicated magic systems.

I seem to prefer books with atmosphere and wonder.
Some books I’m planning to read:
Emily Wilde’s Encyclopaedia of Faeries
Half a Soul
Red Rising
The Night Circus
Caraval
Once Upon a Broken Heart

The vibe I’m looking for is:
🌿 forests
🌧️ rain
📚 dark academia
🍄 folklore
☕ tea shops and libraries
🗺️ exploration and wonder
🕯️ candlelight
✨ whimsical magic
🍂 autumn vibes
🌙 dreamy atmosphere

I love books that feel immersive and magical rather than action-heavy.

Romance is welcome (and honestly preferred), especially if it has:
he falls first
protective/devoted hero
gentle, kind heroine
slow burn
moderate spice is fine

I’m not currently looking for:
heavy sci-fi
dragons as a major focus
grimdark fantasy
endless battle sequences
huge 10+ book commitments
Standalone, duologies, and trilogies are ideal.

Basically, if the book feels like wandering through an enchanted forest with a journal in one hand and a cup of tea in the other, I probably want to read it.
What would you recommend?

u/daystar-111 — 20 days ago

Interesting people

I am astonished by people and flattered by people who can learn just by reading
It is pure fascination
I am someone quite the opposite
I can only learn with experience
I think the people who study vedas etc spiritual texts they are not just divinely gifted but they’re talents and genius
It’s not easy to read and understand especially something spiritual
But something spiritual is easy to understand once experienced
I’ve realised that there are many things written in the texts and I have never read them probably I don’t even know the name of the texts that exists but when I reflect on my life and write I have found that some of my realisations match with what’s written in those texts
I wouldn’t have ever understood those things if I just read it but since I have experienced those things it’s easy for me to reflect and realise
My way of learning is through reflection and then leads and guides me to understanding
World is cool place with cool people, how all of us are so similar yet so so complex and different at the same time in the most beautiful ways possible :)
Life is crazy and wonderful
I’m amazed by life everyday
God the creator how did you create all of this
Whatever this is it can only be thought by you, therefore god exists, I mean ofc I have no doubt on that but just another argument to make if there’s any debate ;)

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u/daystar-111 — 1 month ago

What was once - Her’s

“Baby I’ve been there before…. I was at the point where all I really wanted was someone
And now I'm still hanging on,
I was at the end of every tether waiting for what once was”

Do you guys have any song recommendations with this kind of vibe ??

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u/daystar-111 — 1 month ago

Small tip for building confidence

From the longest time I wanted to try and experiment this, I’ve been saving it on my Pinterest board and what not but finally today I got the motivation to do it and to initiate it at least.

Self improvement Day 1- Dancing !!

Yes ik it’s a really simple thing and you must be wondering how will this help me or anyone else?!

So I was basically not feeling good due to the rejection I faced in a lot of my interviews this past week and every time I tried to study or practise I didn’t have the confidence, but honestly I was never really a confident person.
Interview is just a current example but even when I was in school I was nervous, I hate public speaking I get anxious blah blah yk the story. So because of that rejection I was just in my bed I’m 21y/o and I slept did nothing, it really took a toll on my mental health and I gave up to try again. Again this is just one example but there are many examples about how I struggle to express myself in social interactions even when I don’t need to typically talk to others. Be it taking pictures of skies outdoor or be it taking a photo in a mall or on a train I was even afraid of that it gave me anxiety.

So there’s a cool tip probably not a conventional tip and yes you heard it already it’s dancing.

Why? Simple because-

  1. when you try to do any sort of exercise be it yoga or dance or any kind of workout or martial arts, somewhere or the other your physical body is developing and when that happens there’s a natural confidence it’s like the warmth of sun on a cold day it’s not loud but it makes you smile.
  2. if you fear going out or taking pictures or generally have low confidence level work on your physical body, I tried dancing it uplifted me
  3. if you already know how to dance learn harder steps if you already do yoga go to some advance step

Confidence is not just related to this factor but if you’ve nothing to start from and if you don’t do this I think you might give it a try!!

My experience about dancing today : trust me when I say this, I was alone in my room there was nobody but Yk what I was afraid to dance because I was afraid of the way I danced and obviously I don’t want myself to nail everything on my first try but I got anxious, I realised even when I was alone the people are still in my head and that was something I need to work on I tried a lot and pushed myself to learn 3 mins of contemporary dance routine and in the end there was some progress not only my body felt good but mentally also I felt better.
I will be less anxious tomorrow, if I was not able to do it infront of my own self but today I can do it, I think I’m a step ahead and so you can be. Trust the process it’s not lame or impractical :)

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u/daystar-111 — 2 months ago
▲ 26 r/MusicRecommendations+1 crossposts

I desperately need some song recommendations

DO NOT RECOMMEND SAD SONGS !!!

It turns out I have been listening to the same songs for the past 2-3 years and every time now when I play those songs again I give up I have outgrown them
You might want to suggest me ANY of your FAV SONGS and or your FAV ARTISTS
Or if you happen to know something similar to what I usually listen to - good music over lyrics, great hook, rock, indie rock, indie pop, songs to listen to during rain, or maybe love songs or nerdy intelligently written songs

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u/daystar-111 — 2 months ago