You’ll start with the fundamentals of Python 3 programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as exploratory analysis,
using linear and ensemble algorithm families\n* Build predictive models that solve a range of simple and complex problems\n* Apply core machine learning algorithms using Python\n* Use sample code directly to build custom solutions\nMachine learning doesn't have to be complex and highly specialized...
A good predictive model one can be used to solve a real-world problem in a satisfactory way. My goal is that by the end of this book you will have the foundations that you need to start solving real-world problems using predictive analytics....
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predictive-analysisevent-extraction UpdatedMay 18, 2024 Python simplesaad/Heart-Disease-Diagnosis Star13 Code Issues Pull requests Flask based web app to diagnose the patient using Python3 pythonflaskmachine-learningpredictive-analysisheart-disease-analysis ...
inPython'sdatasciencestack:NumPy,Pandas,Matplotlib,Seaborn,Keras,Dash,andsoon.Inadditiontohands-oncodeexamples,youwillfindintuitiveexplanationsoftheinnerworkingsofthemaintechniquesandalgorithmsusedinpredictiveanalytics.Bytheendofthisbook,youwillbeallsettobuildhigh-performancepredictiveanalyticssolutionsusingPython...
Temporal Causal Scenario Analysis Scenario analysis refers to a capability of the TCM models to "play-out" the repercussions of artificially setting the value of a time series. A scenario is the set of forecasts that are performed by substituting the values of a root time series by a vector ...
Analysis with the Intel®Optimization for XGBoost* To see if further improvement on the performance of the SVC could be achieved, an XGBoost model was tuned following the same steps above using stratified 3-fold cross-validation. During development of the reference kit, XGBoost v1.4.3...
Include specific algorithms in the predictive maintenance loop using Python or similar language. Monitor all analytics in one application and complement custom algorithms using built-in model templates, data cleansing, alerting, and alert workflow, fault diagnostics, prescriptive actions, forecasting, and ...
RStudio Connect unlocks R & Python for decision makers and production systems using Jupyter, R Markdown, Shiny, Dash, Streamlit, Flask, and Plumber. Learn more See how it works: Demo Sumo Logic cloud-native SaaS analytics provides real-time insights that help reduce the time to investigat...