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3d-occupancygrid-python

An Occupancy Grid Representation in Python

a-b_testing

applied_artificial_intelligence

comaprision-of-cnn-with-recurrent-convnet

This project aims to develop a Hybrid architecture of RNN and CNN to improve classification accuracy on an Image dataset. The Hybrid architecture had only 20% of trainable parameters compared to baseline CNN and rendered a classification accuracy of 86%.

datamining

Human resource, sales, customer churn and service agent evaluation

fastapi_fuzzy

gcp-pub-sub

a repo for the demo of stream and batch processing from IoT enable machines in a Smart manufacturing environment

hlf-windows-fabric-tool

img

iot-assettracking-perishable-network-blockchain

Use an IoT Asset Tracking device to record environmental sensor conditions to a Hyperledger Blockchain Perishable Network

iot-machine-monitoring-using-apache-kafka

An alert system made for real time process monitoring of an IoT enabled CNC machine

jenkins_ml

macdata

machine-learning-with-r-datasets

Formatted datasets for Machine Learning With R by Brett Lantz

mc

mcn

media_mix_model_webapp_pycaret

multi-touch-attribution_shapleyvalue

Python implementation of Shapley value for multi touch attribution modeling

ncsu

This is my new repository

oil-reserve-estimation-using-monte-carlo-method

sentiment-analysis-by-combining-machine-learning-and-lexicon-based-methods

This project is on twitter sentimental analysis by combining lexicon based and machine learning approaches. A supervised lexicon-based approach for extracting sentiments from tweets was implemented. Various supervised machine learning approaches were tested using scikit-learn libraries in python and implemented Decision Trees and Naive Bayes techniques.

so-cal

Semantic Orientation Calculator for Sentiment Analysis

spend_prediction_model

walmart_sales_prediciton