Tag: Python

  • US Real Estate – Harnessing the Power of AI

    US Real Estate – Harnessing the Power of AI

    This is the continuation of our recent use-case series dedicated to the real estate (RE) monitoring, trend analysis and forecast. In these series, the focus is on the US house prices by invoking supervised machine learning (ML) and artificial intelligence (AI) algorithms available in Python as it is the language with the largest variety of libraries on the […]

  • ML/AI Wildfire Prediction using Remote Sensing Data

    ML/AI Wildfire Prediction using Remote Sensing Data

    Featured Photo by Mike Newbry on Unsplash Introduction Wildfire is a widespread and critical element of the Earth’s system. Wildfires can result in significant impacts to humans, either directly through loss of life and destruction to communities or indirectly through smoke exposure. As the climate warms, we are seeing increasing impacts from wildfire. Consequently, billions […]

  • Applications of ML/AI in HR

    Applications of ML/AI in HR

    A critical arm of artificial intelligence (AI), machine learning (ML) is making strides in every area of HR. We discuss its role of ML/AI in HR and people-centric transformation. Results have a crucial influence on customer satisfaction and retention, especially when employees come into regular contact with customers. Knowing when employees are most likely to have a slump in productivity, fall ill, or quit, helps each department prepare for any and all of these eventualities.

  • Towards Optimized ML Wildfire Prediction

    Towards Optimized ML Wildfire Prediction: This Python case example stems from the initial research into ML/AI wildfire prediction using the dataset that was downloaded from the UCI Machine Learning Repository.

  • Macroaxis AI Investment Opportunity

    Our earlier study addressed the Macroaxis portfolio optimization based upon a statistical approach to making optimal investment decisions across different financial instruments. The present research analysis illustrates the Macroaxis Artificial Intelligence (AI) investment opportunity. The AI framework completely automates your asset selection decisions. It is designed to address the most technical part of the wealth […]

  • AI-Guided Drug Recommendation

    AI-Guided Drug Recommendation

    AI-Guided Drug Recommendation in Python using NLP text processing. Key steps: WordCount images, NLP Pre-Processing, NER via spacy, LDA topic modelling, and Word2Vec Vectorization for reviews using pretrained glove model. Input data: the Kaggle UCI ML Drug Review dataset. Applications in the pharmaceutical industry, including drug R&D, drug repurposing, improving pharmaceutical productivity, and clinical trials, among others.

  • ANOVA-OLS Prediction of Surgical Volumes

    Operating rooms (ORs) are some of the most valuable hospital assets, generating a large part of hospital revenue.  Statistical models have been developed using datasets to predict daily surgical volumes weeks in advance. We focus on the VUMC dataset for evaluation of our statistical models. We use the ANOVA null-hypothesis test for the total number of surgeries. The Ordinary Least Squares (OLS) linear regression formula is applied to our target variable Actual Surgery.

  • Drag Review Data Analytics

    UCI Drag Review Data Analytics An AI assisted medication recommender framework is truly vital with the goal that it can assist specialists and help patients to build their knowledge of drugs on specific health conditions. We Build a Drug Recommendation System that recommends the most effective drug for a certain condition based on available reviews of various drugs used to treat this condition.

  • Algorithmic Trading using Monte Carlo Predictions and 62 AI-Assisted Trading Technical Indicators (TTI)

    Algorithmic Trading using Monte Carlo Predictions and 62 AI-Assisted Trading Technical Indicators (TTI): The goal of the here presented pilot study is to develop and test an end-to-end Python-3 script in Jupyter that implements algorithmic trading. Thanks to high-level automation and integration of multiple tasks, the script can simultaneously analyze hundreds of technical indicators, run simulations and forecasts, perform real-time technical analysis and generate trading signals and alerts at a speed and frequency that is impossible for a human trader.

  • Simple E-Commerce Sales BI Analytics

    Simple E-Commerce Sales BI Analytics

    Good businesses learn from previous efforts and test future ideas using e-commerce analytics (ECA). ECA enable you to delve deep into historical BI data, and future forecasting so that you can make the optimized business decisions.  The key benefits of ECA are as follows: Improve your ROI while lowering your CAC. Measure the effectiveness of […]