BIOENGINEER

Structured Python Framework Guides Nonprogramming Engineers Through Core Machine Learning Models

A comprehensive Python tutorial outlines an end-to-end framework enabling engineers without programming expertise to ...
BIOENGINEER

New Python package opens the recount3 RNA-seq data trove to machine learning workflows

A new Python package provides programmatic access to tens of thousands of uniformly processed RNA-seq samples from human and ...

Trying out machine learning using scikit-learn and the Palmer Penguins dataset

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...
GitHub

Predictive Maintenance Using Machine Learning

Predictive maintenance using Python and machine learning to analyse machine sensor data and predict failures. - Vahid-8185/predictive-maintenance-analysis ...
Analytics Insight

10 Powerful Big Data Tools for Modern Data Scientists

Big data tools help data scientists store, process, and analyze massive datasets with greater speed and efficiency.Apache Spark, Kafka, and Flin ...
FinanceFeeds

Building a Price Prediction Model in Python: A Step-by-Step Guide Using Historical Data and Basic ML Libraries

Build a crypto price model in Python: pull data with yfinance, engineer features, split by date, then test Linear Regression ...
TechRepublic

The 7 Best Data Science Courses That are Worth Taking

Today’s best data science courses offer hands-on experience with Python, SQL, libraries, basic machine learning models and more. A career in data science involves using statistical, computational and ...
VentureBeat

3 big problems with datasets in AI and machine learning

Datasets fuel AI models like gasoline (or electricity, as the case may be) fuels cars. Whether they're tasked with generating text, recognizing objects, or predicting a company's stock price, AI ...