Ameer Azam's repositories
ATPBetting
A strategy for tennis matches betting
Audio-Classification-Resources
Best Collection of Articles and code for Audio Classification
AutoRCCar
OpenCV Python Neural Network Autonomous RC Car
bangalore-november-2018-batch-SomdyutiBhat
bangalore-november-2018-batch-SomdyutiBhat created by GitHub Classroom
CodeFights.py
My Python3 code from CodeFight challenges.
Data-Structures-In-C
(Incomplete, In Continuation) Implementation of Data Structures like Stacks, Queues, etc. using C programming language
Data_Science_Interview_Guide
These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube
final-yr-projectqA
Accident-Prediction
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.
google-maps-services-python
Python client library for Google Maps API Web Services
modern_portfolio
Responsive portfolio website
MusicGenerator
Experiment diverse Deep learning models for music generation with TensorFlow
project_chat_application
This is a code repository for the corresponding YouTube video. In this tutorial we are going to build and deploy a real time chat application. Covered topics: React.js, Node.js, Express.js, and Socket.io.
Real_time_Object_detection_TF
This is an implementation of tensor flow object detection API for running it in Real time through Webcam
sample.starter_notebooks
Notebooks showing Streams applications written in Python
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