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-decision-tree-ml-full-tutorial-on-adults-dataset

a-simple-calculator-in-c-

a-simple-quiz-in-c-

bbc

belly-button-challenge

data_sets

datasets

dengui-competition-notebook-file

digits-classification

dlc

document-scanner

dp

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.

ensemble-techniques-on-superkart

er

face-recognition

house-price-competition-kaggle

introduction_to_ml_with_python

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

kaggle-titanic

kaggle titanic solution

leaflet-challenge

learn-python

Beginners guide to learning python

machine-learning

Implementation of different ML techniques

machine-learning-classification-algos-iris-data-

matplotlib-seaborn-data-visualization-

Tutorial of matplotlib and seaborn (python libraries)

new

numpy-tutorial-basics-

opencv-python-tutorials-and-projects

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

optical-mark-recognition-opencv

pandas-and-numpy-basics-for-data-sciecne

Basics of pandas and numpy for data science.

parkinson-detection

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