Stars
A Machine Learning Case Study to predict the Demand of Yellow Taxi in New York City at given location and at a given time interval.
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
Source code of ALPR (Automatic License Plate Recognition System) 🔥
For the Coursera specialization https://www.coursera.org/specializations/gcp-data-machine-learning
DATA ENGINEERING ON GOOGLE CLOUD PLATFORM
Data Engineering on Google Cloud Platform
All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.
This repo contain my assignment notebooks for the Coursera AI for Medicine Specialization course. The link to the course: https://www.coursera.org/specializations/ai-for-medicine
The fastai book, published as Jupyter Notebooks
A Deep Learning project for face recognition from video input
Emotion Speech Sentiment Analysis Demo using Pyimagesearch and Watson Studio Technology
I have used haarcascade.xml and deep learning techniques to detect the emotion of person. Trained in keras framework using fer2013 dataset. I have delivered the model with almost 95.0% of accuracy.…
Deep learning for computer vision with python codes
Repository for PyImageSearch Crash Course on Computer Vision and Deep Learning
Training a Faster R-CNN from scratch on LISA Traffic Signs dataset using TensorFlow Object Detection API
All the slides, accompanying code and exercises all stored in this repo. 🎈
A topic-centric list of HQ open datasets.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
In this challenge we have given a directed social graph, and we have to predict missing links to recommend users (Link Prediction in graph)
Identify which questions asked on Quora are duplicates of questions that have already been asked.This could be useful to instantly provide answers to questions that have already been answered,predi…
Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standin…
A Machine Learning Case Study to predict the tags for a question on Stackoverflow. This is a Multi-label classification where a data point can belong to more than one class
Diagnosing Genetic Mutation based on classical literature.