mehdielbarki's Stars
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!
dipanjanS/practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
smahesh29/Django-WebApp
This is a web-app created using Python, Django. By using this user can login, upload files and also can view and download files uploaded by other users.
b-tomi/100DaysOfCode
100 Days of Code - The Complete Python Pro Bootcamp for 2021: Project solutions
TalalAlrawajfeh/machine-learning-roadmap
ashishpatel26/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
CMEGroup/datamine_python
Package for interacting with CME Datamine historical Market Data repository and Alternative Data source for CME Group Markets.
The-Assembly/Build-An-AI-Virtual-Mouse-With-OpenCV
In our continuing deep dive into practical real-time computer vision, we’ll show you how to code a hands-free webcam-based controller for your computer mouse using the OpenCV library on Python. This will allow you to control your computer without any physical peripheral required—Iron Man style! In this session, we’ll first obtain our live camera feed using OpenCV and then estimate hand poses using MediaPipe Hands, an open-source framework that employs machine learning to infer 3D landmarks of the hand from single frames in real-time without any fancy hardware acceleration, working even on mobile phones. Following this, we’ll set up our simulated mouse movement in response to the poses using the AutoPy automation module. Prerequisites: ✅ Python (latest release: https://www.python.org/downloads/release/python-395/) ✅ PyCharm (https://www.jetbrains.com/pycharm/download/) or any other Python code editor ✅ pip install: OpenCV (https://pypi.org/project/opencv-python/), MediaPipe, AutoPy ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at workshops@theassembly.ae Our website: http://theassembly.ae Instagram: http://instagram.com/makesmartthings Facebook: http://fb.com/makesmartthings Twitter: http://twitter.com/makesmartthings
The-Assembly/Detect-Emotions-in-Real-Time-with-OpenCV
In a previous session in March, we showed you how to train a CNN (Convolutional Neural Network) using TensorFlow to detect human emotions from facial expressions with great accuracy (link to session: https://youtu.be/ctjkZnQF_FY) In this workshop, we’ll take our deep learning model live by integrating it with OpenCV to process real-time video. We’ll capture expressions directly from the webcam and run them through our CNN to get a reading on mood and emotion instantly. Prerequisites: —Python (https://www.python.org/downloads/) —Visual Studio Code (https://code.visualstudio.com/download) ----------------------------------------- To learn more about The Assembly’s workshops, visit our website, social media or email us at workshops@theassembly.ae Our website: http://theassembly.ae Social media: —Instagram: http://instagram.com/makesmartthings —Facebook: http://fb.com/makesmartthings —Twitter: http://twitter.com/makesmartthings #OpenCV #DataScience
rajansahu713/Working-with-Python-Libraries
hakiri/Tuto-Blockchain
Scripts for Blockchain Tutorial
rahulomble/Exploratory-Data-Analysis
Exploratory Data Analysis of Bank Customer Churn We have client ‘ABC Bank’. Bank has noticed increased number of customers leaving to the bank. To tackle this alarming situation. Bank has decided to collect the data of the past 6 months. 10000 customers are selected randomly among three countries - France, Germany , Spain. The bank wanted to understand get the insights about customer churning so bank can upgrade or adapt new policies.