Algorithm

K-Nearest Neighbor Machine Learning algorithm

The German credit dataset can be downloaded from UC Irvine, Machine learning community to indicate the predicted outcome if the loan applicant defaulted or not. Applying the logistic regression with three variables duration, amount, and installment, K-means classification, and K-Nearest Neighbor machine learning algorithm. # Logistic regression # Load the file from the hard disk after setting the work directory germandata # Print dataset to see the pattern of the data g...

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Brace yourself for weathering the data storm: RDBMS

RDBMS is relational database management system. In the early 1970s, Codd invented the relational database management system. It was an advancement to spur DBMS movement they had at that time by implementing the cardinality and normalization to the database. Codd conceptualized and created 12 rules for a traditional RDBMS. Though the rules are laid out, it made the database more flexible and integrated with these principles. (a) RDBMS deems all database management ...

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SAP HANA Cloud Platform

Introduction Navint Partners, LLC research report shows that Fortune 500 companies are leveraging cloud-based data centers at some scale of magnitude. The traditional data centers are on the path to extinction. The challenges of running databases and applications on cloud-based data centers and on-premise data centers come from economies of flash, economies of scale, and managed services. Some of the in-memory database platforms and big data analytics require procuri...

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K-Nearest Neighbor Machine Learning algorithm

The German credit dataset can be downloaded from UC Irvine, Machine learning community to indicate the predicted outcome if the loan applicant defaulted or not. Applying the logistic regression with three variables duration, amount, and installment, K-means classification, and K-Nearest Neighbor machine learning algorithm. # Logistic regression # Load the file from the hard disk after setting the work directory germandata ...

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A Greater Foundation for Machine Learning Engineering – The Hallmarks of the Great Beyond in PyTorch, TensorFlow, R, and Python

Data, engineering, machine learning, and artificial intelligence are now everywhere. It's of utmost importance that we learn about them, not as a way to advance but out of sheer necessity. This book is an exceptional resource for those who wish to obtain in-depth knowledge and research on these fields. Fortunately, I found this book by the author Dr. Ganapathi Pulipaka, a leading influencer of machine learning in the United States. . In his comprehensive upcoming book, ther...

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