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Songwriting: Writing the Lyrics
The Musculoskeletal System: The Science of Staying Active into Old Age
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Learn Predictive Modeling, earn certificates with free online courses from Stanford, MIT, University of Pennsylvania, University of Michigan and other top universities around the world. Read reviews to decide if a class is right for you.
Take your data analytics and predictive modeling skills to the next level using the popular tools and libraries in Pytho
Build Data science Real world Projects in AI, ML , NLP and Time Series domain & get a job of Data Scientist/ML Engineer
Explore machine learning algorithms, from supervised to unsupervised techniques. Learn to apply models like Naive Bayes, decision trees, and K-means clustering to solve complex data problems and make predictions.
Learn to train and evaluate classification models, including logistic regression, decision trees, and ensembles. Gain hands-on experience with best practices like handling unbalanced classes and using various error metrics.
Explore AI algorithms' rise, from basic to autonomous, and learn to make them ethically sound. Discover limitations, improve accuracy, and understand societal implications of predictive intelligence.
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
Unlock the Power of Statistical Analysis and Excel in Data-Driven Decision-Making for Various Fields
Get the essential machine learning skills and use them in real life situations
Understand & apply machine learning in Geographic information systems and Remote Sensing in QGIS and Google Earth Engine
Designed specifically for beginners with no background in Data Science, Computer Science or Alteryx
Machine Learning: A comprehensive guide to machine learning. Learn machine learning algorithms & machine learning tools
Fundamentals of Data Science : Exploratory Data Analysis (EDA), Regression (Linear & logistic), Visualization, Basic ML
Supervised & unsupervised machine learning in R, clustering in R, predictive models in R by many labs, understand theory
Learn to apply supervised learning techniques in marketing using Python, focusing on customer segmentation, churn prediction, recommendation systems, and predictive modeling to drive data-driven business decisions.
Explore COVID-19 positive case prediction with scikit-learn's Linear Regression in Python.
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