mohan-mj Goto Github PK

identify-facial-expression

A step closer to intelligent infotainment - Machines that understand your mood!!..

interpret

Fit interpretable machine learning models. Explain blackbox machine learning.

irish_ev_charger_status

I am working with a dataset of statuses at EV charging stations in Ireland and building a model to predict the status of a charger at a particular time.

k-means-clustering

keras-bert

A simple technique to integrate BERT from tf hub to keras

kernel-svm

knn_k-nearest-neighbor

k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classification and regression

lime

Lime: Explaining the predictions of any machine learning classifier

logistic-regression

low_latency_lstm_forecasting

Repository for credit card fraud detection notebooks and ONNX models

lucid

A collection of infrastructure and tools for research in neural network interpretability.

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machine-learning-with-python

Python codes for common Machine Learning Algorithms

manufacturing_line-i4.0

Shop floor always have challenges. When the part fails at the end of line testing, shop floor manager instinctively retrace your steps to identify at what point you went wrong. Here, the ML based algorithm is closely monitoring the parts as they progress through the manufacturing processes. So that the defective parts can be intelligently identified. An i4.0 use case with machine learning.

markdown-pricing

market-basket-analysis

matplotlib

matplotlib: plotting with Python

matplotlib-tutorial

Matplotlib tutorial for beginner

medium_notebook

Repository containing notebooks of my posts on Medium

mini-batch-k-means-clustering

misc

mli-resources

H2O.ai Machine Learning Interpretability Resources

mlr-body_fat_percentage-ridge_lasso

mlr-case_study-housing_marketing

mlr-netflix

multiple-linear-regression

mxy-board-xy-plotter-drawing-machine

naive-bayes-classifier

ner-named-entity-recognition

Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify named entity mentions in unstructured text into pre-defined categories such as the person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.

nlp-glove-sentiment_analysis