f1-score

BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagged large and had a space of 1GB+ . My work includes self laid neural network which was repeatedly tuned for one of the best hyperparameters and used variety of utility function of keras like callbacks for learning rate and checkpointing. Could have augmented the image data for even better modelling but was short of RAM on kaggle kernel. Other metrics like precision , recall and f1 score using confusion matrix were taken off special care. The other part included a brief introduction of transfer learning via InceptionV3 and was tuned entirely rather than partially after loading the inceptionv3 weights for the maximum achieved accuracy on kaggle till date. This achieved even a higher precision than before.

Corpus and a baseline neural network system for Named Entity Recognition in Hindi-English Code-Mixed social media text.

This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets

A repository of resources for understanding the concepts of machine learning/deep learning. 

Verifying suitability of dysphonia measurements for diagnosis of Parkinson’s Disease using multiple supervised learning algorithms.

Boundary F1 Score - Python Implementation

Detecting drug-drug interaction (DDI) has become a vital part of public health safety. This project is an implementation of NLP based approach for such relation extraction between entities.

📚 Use Google BERT on fake_or_real news dataset with best f1 score: 0.986

This is a simple python example to recreate classification metrics like F1 Score, Accuracy

Extremely fast evaluation of the extrinsic clustering measures: various (mean) F1 measures and Omega Index (Fuzzy Adjusted Rand Index) for the multi-resolution clustering with overlaps/covers, standard NMI, clusters labeling

Image key points Extraction, Description, Feature Matching

Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje de señas colombiano basado en redes neuronales (perceptrones), soporte de máquina vectorial y K-vecino más cercano para clasificador

With some projects to develop "TOOLs" for better Modeling

Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯

The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.

Script for calculating the optimal cut-off for max. F1-score or accuracy

Link prediction in a directed social graph.

Classifying Forest Cover type

Data Analysis in Spark to Identify Customer Churn for a fictional music service(like Spotify)

A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.

We aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.

Image Classification Coursework: Classifying Simpsons Over the Past 25 Years

Twitter Sentiment Analysis (Ml hackathon)

67% accuracy on test set of CIFAR-100 by CNN in Keras without transfer learning

This is a web based elective course recommender system implemented with flask and Sklearn

This project aims to predict liver disease in Indian patients

Predict sales prices and practice feature engineering, RFs, and gradient boosting

This is the code for predicting football (soccer) results by Amir Mirbagheri

Worked on the Project Pneumonia Detection using Chest X-Ray in the Phase 1 Period of Bertelsmann Nano Degree Scholarship Program