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100-days-of-ml-code

100 Days of ML Coding

2015

Public material for CS109

30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

a-to-z-resources-for-students

Curated list of resources for college students :octocat: Show your :heart: by giving a :star:

adhd_classification_dbn_extraction

Guide : Prof Sundaram Suresh (NTU- Singapore) Area: Deep learning neural networks for feature extraction in high dimensional neuro imaging data. Tools used: Standard neuro imaging software for preprocessing, a MATLAB deep learning toolbox DeeBNet. I used deep learning algorithms including RBM’s and CNN’s to train on an open source MRI data set and classify unseen fMRI scans as having ADHD or not. I was able to achieve accuracy scores of 64% which is incrementally better than the current start of art(as of 2016). The project was challenging due to the high dimensionality of the input data and the meager number of test samples.

aifh

Artificial Intelligence for Humans

air-pollution-modeling

air-quality-index-prediction-using-python

Webapp to predict the Air Quality Index of a region given climate conditions.

american-sign-language---fingerspeller---gesture-detection-using-cnn

Convolution Neural Network to perform classification of various Fingerspelling gestures in American Sign Language

ann-python

Artificial Neural Networks in Python

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)

artificial-intelligence-projects

Collection of Artificial Intelligence projects.

asl-finger-spelling-recognition

Online recognition of American Sign Language Finger Spelling from a video (webcam) and interpretation of the gestures.

automatic-detection-of-invasive-ductal-carcinoma

Deep learning based model to classify histopathological images in IDC + and IDC -

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

awesome-text-summarization

A curated list of resources dedicated to text summarization

backpropagation

Implementation of backprogagation algorithm for neural network learning

bag-of-words

Python Implementation of Bag of Words for Image Recognition using OpenCV and sklearn

bayesian_machine_learning

My attempt to understand the bayes world

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

book-deep-learning-applications-with-applications-using-python

Chapterwise code available in the book

breakhist-dataset-image-classification

BreakHist Dataset contains histopathological images of eight types of breast cancer, including four benign cancer and for malignant cancer. In this project, I have trained and fined tuned many of the existing CNN models to get over 80% accuracy in multi-class classification.

breast-cancer-classification

Breast Cancer Classification using CNN and transfer learning

breast-cancer-classification-with-support-vector-machine

In this study, my task is to classify tumors into malignant or benign using features obtained from several cell images.

breast-cancer-coimbra-data-set-

this provides comaparison of machine learning algorithms on breast cancer Coimbra dataset taken from UCI ML repository

breast-cancer-detection

AI app to detect breast cancer in histopathological database

breast-cancer-detection-1

Using slide images to detect breast cancer (IDC(+) or IDC(-))