ImaadUllah

ImaadUllah's Stars

• murtazahassan/Learn-OpenCV-in-3-hours

  Language:Python9942910565

• murtazahassan/Optical-Mark-Recognition-OPENCV

  Language:Python15772110

• murtazahassan/Real-Time-Object-Measurement

  Language:Python1515278

• murtazahassan/Document-Scanner

  Language:Python13660101

• murtazahassan/Raspberry-Pi-Ultimate-Robot

  Language:Python415015

• murtazahassan/Learn-Python

  Beginners guide to learning python

  374121

• murtazahassan/Robot-Arm-Gesture-Control

  Language:Python374321

• murtazahassan/Digits-Classification

  Language:Python284415

• murtazahassan/lineFollowerPID

  Language:C++25217

• murtazahassan/Learn-Raspberry-Pi

  Language:Python21209

• murtazahassan/Obstacle-Avoding-Robot

  Language:C++20306

• murtazahassan/Object-Following-Robot

  Language:C++19208

• murtazahassan/TeslaCyberTruck-Arduino

  Language:C++17204

• ImaadUllah/Python-Exercises-with-solutions

  Language:Jupyter Notebook3201

• ImaadUllah/data_sets

  120

• ImaadUllah/Datasets

  120

• ImaadUllah/Digits-Classification

  Language:Python110

• ImaadUllah/Document-Scanner

  Language:Python110

• ImaadUllah/Effective-Handwritten-Digit-Recognition-using-Deep-Convolution-Neural-Network

  This is code implementation for a paper on "Effective Handwritten Digit Recognition using Deep Convolution Neural Network". This paper proposed a simple neural network approach towards handwritten digit recognition using convolution. With machine learning algorithms like KNN, SVM/SOM, recognizing digits is considered as one of the unsolvable tasks due to its distinctiveness in the style of writing. In this paper, Convolution Neural Networks are implemented with an MNIST dataset of 70000 digits with 250 distinct forms of writings. The proposed method achieved 98.51% accuracy for real-world handwritten digit prediction with less than 0.1 % loss on training with 60000 digits while 10000 under validation.

  Language:Jupyter Notebook110

• ImaadUllah/Ensemble-Techniques-on-SuperKart

  Language:HTML120

• ImaadUllah/Face-Recognition

  Language:Python110

• ImaadUllah/introduction_to_ml_with_python

  Notebooks and code for the book "Introduction to Machine Learning with Python"

  Language:Jupyter Notebook110

• ImaadUllah/kaggle-titanic

  kaggle titanic solution

  Language:Jupyter Notebook1100

• ImaadUllah/Learn-Python

  Beginners guide to learning python

  110

• ImaadUllah/Machine-Learning

  Implementation of different ML techniques

  Language:Jupyter Notebook1100

• ImaadUllah/OpenCV-Python-Tutorials-and-Projects

  An easy to follow course of OpenCV using Python for beginners.

  Language:Python110

• ImaadUllah/Optical-Mark-Recognition-OPENCV

  Language:Python110

• ImaadUllah/parkinson-detection

  A machine learning approach to detection of Parkinson's disease.

  1

• ImaadUllah/Parkinson-Disease-Prediction-in-Early-Stages

  Parkinson's disease is a progressive nervous system disorder that affects movement. Symptoms start gradually, sometimes starting with a barely noticeable tremor in just one hand.

  Language:Jupyter Notebook110

• ImaadUllah/Real-Time-Object-Measurement

  Language:Python110