Ameer Azam's repositories
AutoRCCar
OpenCV Python Neural Network Autonomous RC Car
get-started-python
A Python application and tutorial that use Flask framework to provide a REST API to receive requests from the UI. The API then persists the data to a Cloudant database.
ATPBetting
A strategy for tennis matches betting
final-yr-projectqA
Accident-Prediction
Data_Science_Interview_Guide
These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube
modern_portfolio
Responsive portfolio website
Real_time_Object_detection_TF
This is an implementation of tensor flow object detection API for running it in Real time through Webcam
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
MusicGenerator
Experiment diverse Deep learning models for music generation with TensorFlow