Roopam Barman

I never got rejected in GSoC why: I never applied I don't know how to contribute I never visited gsoc page Too lazy to research company to target in gsoc

Check out my design account instagram.com/el.dizeno/

@0x_Kapoor @wh0sumit +1

@wh0sumit Need 4k access G. This is not supporting mac. pixels are burrr.

can’t stop staring at my wallpaper 🤤

Would you rather give Barcelona a guard of honor at Camp Nou or lose the league to them at Camp Nou?

the best sources for learning adobe illustrator!!

started a poetry account: instagram.com/el.titanio/

i shall too pass

i think about this quote everyday.

..

resist performing for an audience that isn't watching

This is a do or die year ngl the whole trajectory of my life depends on this year

@BarcaUniversal You still have doubts?

Was Gundogan right about Araujo?

My college principal has no idea that his daughter is my girlfriend, but today fate decided to speedrun my funeral. We were peacefully eating ice cream, minding our own business, when suddenly the principal, his wife, AND his son walked into the same ice cream parlor. Bro, why was his whole family tree there? Did the universe schedule an intervention for me? Me standing there like, “Yep, this is where my academic career, relationship, and soul all get rejected in one go.” The principal starts interrogating me: - Why are you here? - Give your father's phone number - When will you pay the college fee? But then his wife saved us – she's my math professor! But his 11-year-old son was judging me harder than my GPA. All three of them had completely different personalities: - Principal: strict and outdated - Wife: modern and chill - Son: judgmental Honestly, the amount of difference between these three people needs an ANOVA test. ANOVA is nothing but a statistical way to compare the means of three or more groups to determine if there's a significant difference between them. Formula: F = MSB / MSW MSB = SSB / (k − 1) MSW = SSW / (N − k) SSB = Σ n (x̄ᵢ − GM)² SSW = Σ (n − 1) sᵢ² Where: - F: F-statistic - MSB: Mean Square Between groups - MSW: Mean Square Within groups - SSB: Sum of Squares b/w groups - SSW: Sum of Squares Within groups - k: Number of groups - N: Total number of observations MSB tells us how much the group means vary from the overall mean. MSW tells us how much individual values vary within each group. If F is big → Differences are too large to be random If F is small → Differences could just be noise Let's take an example: A chips company claims their new flavor tastes better than tomato flavor and onion flavor. They test 30 customers with tomato flavor (avg. rating: 7.2), 30 customers with onion flavor (avg. rating: 6.9) and 30 customers with the new flavor (avg. rating: 8.1). Standard deviations are 1.5, 1.0, and 1.3 respectively. Sample sizes - n₁ = 30 - n₂ = 30 - n₃ = 30 Sample means - x̄₁ = 7.2 - x̄₂ = 6.9 - x̄₃ = 8.1 Standard deviations - s₁ = 1.5 - s₂ = 1.0 - s₃ = 1.3 Question: Do the data show a statistically significant difference in mean ratings? Let's solve step by step: Step 1: Hypotheses H₀: All means are equal H₁: At least one mean is different Step 2: Calculate Grand Mean (GM) - x̄₁ = 7.2 - x̄₂ = 6.9 - x̄₃ = 8.1 - GM = (7.2 + 6.9 + 8.1) / 3 - GM = 7.4 Step 3: Calculate SSB SSB = Σ n (x̄ᵢ − GM)² + 30(7.2 − 7.4)² + 30(6.9 − 7.4)² + 30(8.1 − 7.4)² SSB = 23.40 Step 4: Calculate SSW - SSW = Σ (n − 1) sᵢ² - 29(1.5)² + 29(1.0)² + 29(1.3)² - 143.26 Step 5: Calculate MSB and MSW - k = 3, N = 90 - MSB = SSB / (k − 1) - 23.40 / 2 - 11.70 - MSW = SSW / (N − k) - 143.26 / 87 - 1.6467 Step 6: Calculate F-statistic - F = MSB / MSW - 11.70 / 1.6467 - 7.11 Step 7: Calculate Degrees of freedom - df₁ = k − 1 = 2 - df₂ = N − k = 87 Step 8: Determine Critical Value - Search F-Table on Google - and check critical value for - α = 0.05, df₁ = 2, df₂ = 87 According to the F-table, critical value is 3.10 Step 9: Decision Since F = 7.11 > 3.10, reject H₀. Final Answer: Yes, there is a statistically significant difference in mean ratings among the three flavors (the new flavor differs from at least one of the others). Congratulations 🎉, you've just learned ANOVA! Bonus: Applications of ANOVA in Real Life & AI/ML 1. Manufacturing Quality Control: Companies use ANOVA to compare product quality from different production lines or machines to identify which ones need maintenance. 2. Marketing & A/B Testing: ANOVA helps compare effectiveness of multiple marketing campaigns, ad designs, or pricing strategies simultaneously. 3. ML Model Selection: Data scientists use ANOVA to compare performance of multiple machine learning models across different datasets to find the best one.

@rachiitfr @lochan_twt congrats🙌

@lochan_twt special thanks to him and his Cold email template. Really thankful to have people like him in my circle.

Bro, I just cleared the round for Frontend Developer (3+ years experience) 😭😭😭😭. My current experience is less than 8 months, and that too in React Native. Final round is with the Frontend Head. All thanks to @kirat_tw not gonna lie, I didn’t even take the course seriously. I only followed the React part to give technical sessions.

the fact that I have to be in the "right headspace" to do even the simplest tasks. absolutely humiliating

sacrificed my spine for this

I speng 1.5 hours on this 🥹❤️🙏 Happy Diwali everyone ! @FCBarcelona #FORCABARCA

In the past six days, I finally hit the milestone of 100 kg plus in Deadlift(105) and Squats (100). yay!

I injured my left shoulder while doing shoulder press , the last set's final rep did the damage for me. My form was compromised due to heavy weight and boom. Even tho I could finish the rest of the exercise but this morning I couldn't get up nor could I move my head freely.

Finally Did 70 kg (90 if you count the barbell)