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brainwave

The code in this repository allows the visualization of brainwaves detected using TGAM brainwave sensor module. It uses python, d3.js and Bootstrap. A detailed description of the code can be found in this article - https://medium.com/@mohitjain72/detection-and-visualization-of-brainwaves-using-python-d3-and-bootstrap-742129f9ed97

cdcchallenge

This code was developed during a CDC challenge. It provides a user friendly interface to explore data from CDC Environmental Public Health Tracking Network. Uses data from ephtracking.cdc.gov and census.gov. Inspired form CDC’s “Info by Location” website . The app uses open source software with either MIT or BSD License. Following frameworks/libraries were used: - Bootstrap - Framework for Website Development - v4 - D3.js - JavaScript Library for Data Visualization - v4 - jQuery - JavaScript Library - v3.3 - jStat - JavaScript Statistical Library - v1.6 - flexDataList - JavaScript Plugin

condition-monitoring-of-hydraulic-systems-using-xgboost-modeling

We will do a condition monitoring of a test hydraulic rig, using various sensor values and using xgboost for classification

detecting-face-using-opencv

Detect facial features using openCV (version 3)

hyperparameter-tuning-in-xgboost-using-genetic-algorithm

opencv-and-cnn-for-plant-classification

OpenCV and CNN is used to classify 12 species of plants seedlings

sentiment-analysis-using-cnn-lstm-for-twitter

We will do the sentiment analysis on twitter using a combination of CNN and LSTM. The data

sentiment-analysis-using-word2vec-and-lstm

We will do sentiment analysis using Google's pre-trained word2vec model

taluactivationfunction

A new hyperbolic tangent based activation function

transfer-learning-multi-model-cnn-xgboost-svc-

Combining Transfer Learning with Various Classifiers

transfer-learning-opencv-cnn

OpenCV and CNN are used, with transfer learning, to classify 12 species of plants seedlings

transfer-learning-opencv-xgboost-cnn

Plant seedlings classification using XGBoost in combination with transfer learning, OpenCV and CNN

word2vec-and-keras-and-gensim

Using Word2Vec from Gensim and LSTM from Keras to predict Frasier Dialoges

xgboost-to-classify-activities-using-smartphone-sensors

We will classify activity performed by the user, using the data collected from the users smartphone and provide in UCI Machine Learning Repository.

xgboost-to-predict-safe-driver

XGBoost model to predict safe driver for a auto/home insurance company