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GRIND #17 | Cybersecurity - CTF more BurpSuite, a .php exploitation and others

the challenge was real

couple of examples for disk analysis mostly; using mmls, fls and wireshark

it was alright, not so smooth though.

trying to change the metadata of a .jpeg file using exiftool mostly edit: do not mind the missing bottom portion of the screen please, a minor mistake :)

A basic spherical bearing swaging sim.

I am reminding an important point in joint analysis which is roughly: "Plasticity is an equalizer." (Note: Material properties used are arbitrary.)

GRIND #12 | Machine Learning - CIFAR-10 with Convolutional Neural Network

I have used a classical MLP architecture with three layers of artificial neurons. The result was pretty good: accuracy.

GRIND #10 | Data Analysis - Looking at the recent car market in Turkey (and learning about jupyter)

The model's performance is not great but it works. Used grid search and kfold cross validation for this one.

Frequency response analysis representation of Gokturk-2 satellite model under gravitational load. The model is overly simplified and random properties has been used on it. The CAD model has taken from here: grabcad.com/library/gokturk-2-1/details?folder_id=13602909

The data taken from the link below: kaggle.com/datasets/uom190346a/sleep-health-and-lifestyle-dataset

A basic representation of inter-rivet buckling phenomenon.

GRIND #7 | Machine Learning - Titanic (Kaggle competition)

birb_strike.cae

collision.cae

GRIND #6 | Data Analysis - Homicide cases

DoubleArrowHead_2.cae

DoubleArrowHead_1.cae

wind_turbine.cae

car_door.cae

GRIND #5 | Machine Learning - Composite joint pull-through strength

iron_man.cae

GRIND #4 | Random stuff

lens_container.cae

ball_impact.cae

GRIND #3 | Machine Learning - A Brand's Automative Prices in Turkey (1985-2021)

GRIND #2 | Machine Learning - Asteroid Diameter