Easy face detection using openCV

gnuplot for numpy

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities

Functions and code snippets to help save the time!

A machine learning exercise using the Spotify "hit predictor" dataset, with data analysis of past "hits" by decade. Deployment using Flask via Heroku.

Jupyter Notebooks for Machine Learning Lab for the syllabus of the Visveswaraya Technological University. Contains Jupyter Notebooks of 10 different Machine Learning programs and algorithms ranging from extremely basic to intermediate.

Image segmentation, feature description and object tracking form the foundation of many successful applications of computer vision. The objective of this task is for you to become familiar with these techniques and their implementation in OpenCV.

All source codes I wrote while pursuing HCIA-AI Certificate

Recognize Digits

Hello there! 👋 Welcome to my GitHub repository. Here, I explore various aspects of trading and share my experience in developing a risk-tolerance-based trading framework. As a former retail trader, I used modeling techniques, engineering, and algorithms to build trading strategies.

NumPy Data Science Essential Traing COurse. Part of Youtube Course Offered by TheEngineeringWorld.

Recognize handwritten digits using back-propagation algorithm on MNIST data-set

👨🏻‍💻 Notas, apuntes y prácticas resueltas del tercer año en la Etsinf (2021-2022)

The repository contains Heart Disease Project which is solved using Machine Learning. It is deployed on the Flask server, implemented End-to-End by developing a Front End to consume the ML model and is deployed in AWS EC2 Instance and the Heroku Cloud. Refer to README.md for the working demo and application links.

A Machine learning project on Cat v/s Dog image classification using CNN, VGG-16 and VGG-19 in Python

Calibration and deembedding for impedance measurments

The purpose of this project is a question of banking rating, i.e. depending on the characteristics of a client (potential client), his behaviour is predicted (default of payment, desire to make a deposit, etc.). We are gonna do an exploratory analysis of the dataset using Pandas library.

❤️ Cardio Guide is an application which uses Machine Learning Model to predict the chances of Heart Disease with an accuracy of 81.967%. With this it also provide you with tips to improve your health status which directly benefits your heart.

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts using Libraries and Logic. These things everyone should know in their journey with programming.

The University of California, San Diego, course DSE200x "Python for Data Science" (Summer 2018): Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. Part 1 of »Data Science« MicroMasters® on edX. Instructors: Ilkay Altintas, Chief Data Science Officer, Sa…