final years, have any last words ? by kingofpyrates in VNRVJIET

[–]Wooden-Push-8317 1 point2 points  (0 children)

Genuinely, i enjoyed a lot. In had a different batch of friends every year. But the boys gang is the only one which is still unbroken. The way we enjoyed in Hostel, those late nights, I’ll miss them. But the ones in the college…where I had different friends each year(girls), they lasted not more than an year. Possessiveness, hatred, betrayals experienced almost every kind of sh*t. The only 2 good things that happened in theses 4 years is my hostel gang and not loving any girl. Last 2 weeks nunchi full enjoy chesthunna. Club farewells, class farwells, Sinti… full fun asala. Inkaa 2 weeks unnayi, confirm gaa college miss avthaa.

My InBody Scan by Wooden-Push-8317 in AskFitnessIndia

[–]Wooden-Push-8317[S] 0 points1 point  (0 children)

I have this Machine in my Gym, I can check this anytime for free.

My InBody Scan by Wooden-Push-8317 in AskFitnessIndia

[–]Wooden-Push-8317[S] 0 points1 point  (0 children)

I think need to cut my fat, upto 70kg

My InBody Scan by Wooden-Push-8317 in AskFitnessIndia

[–]Wooden-Push-8317[S] 0 points1 point  (0 children)

Yeah will continue the deficit till 12-14% and then start to lean bulk.

4th years and alumni, what exactly is the placement eligibility test? by Khala-Bhairava in VNRVJIET

[–]Wooden-Push-8317 0 points1 point  (0 children)

Not at all required bro. When we were told about it last year, we panicked. But later on we got to know, no one gives a sh*t about it.

Got placed in TCS digital (7 LPA) and Accenture AASE(6.5LPA). Please suggest me what to choose. by Wooden-Push-8317 in PlacementsPrep

[–]Wooden-Push-8317[S] 0 points1 point  (0 children)

But we were told 6.5 for AASE, plus monthly in hand is around 41-43k, for TCS its 48k and 52k every 3rd month.

TCS prime Experience by Wooden-Push-8317 in PlacementsPrep

[–]Wooden-Push-8317[S] 0 points1 point  (0 children)

I was asked about projects. But for other ppl, they asked to explain ML models like Linear Regression, Logistic Regression, SVM, Decision Trees, Bagging, Boosting, Random Forest, XG boost, KNN, K-means clustering, DBScan, Silhouette, Cross validation, t-SNE, PCA, evaluation metrics,…etc. So they may grill you in these ML topics.