Muhammad Fahmi's repositories
Titanic-Machine-Learning-from-Disaster
Start here if... You're new to data science and machine learning, or looking for a simple intro to the Kaggle prediction competitions. Competition Description The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy. Practice Skills Binary classification Python and R basics
AlquranQ
Terjemahan Alquran Bahasa Indonesia & Bahasa Inggris
Absent-Aplication-from-Python-Tkinter-1
Aplikasi absensi dengan database csv .
arkom
arsitektur komputer
ScrapingProject
edX Scraping Project
Belajar-Mengaji-Android
Aplikasi belajar mengaji berbasis android
tubes1AI-scheduling
implementasi algoritma hill-climbing, simmulated annealing, dan genetic algorithm untuk penjadwalan ruang kelas with GUI dengan bahasa python
mpx5700
A Library to interface the MPX5700 series pressure sensor | any other sensor that has capabilities from 0-700kpa
4chan-image-dl
Python program to download pictures from multiple imageboard threads like 4chan, 420chan or 7chan.
Stickman
Platform jumping game based on example in Python for Kids
threadworms
A multithreaded programming demonstration in Python & Pygame using a "Nibbles" clone.
metasploit-framework
Unofficial fork of the Rapid7 metasploit-framework, pruned for minimal size.
mindwave-python
Linux and Mac-friendly Python parser to connect and interact with multiple NeuroSky MindWave headsets from one machine.
Django_face_recognition
This is a proof of concept application that allows the Django platform to leverage opencv libraries via python to a web interface. Simple Haar classifiers xml from openCV samples were obtained and face / eyes / edge detection algorithms were triggered to be processed on the "Cloud"! Its not very efficient though.. sending pictures over the internet is a lot of processing in itself.. this was just for fun. and i had to use bash scripts to get some stuff done, so this code only works on a linux LAMP stack.