Machine Learning

Building Email SPAM Detector with Naïve Bayes and AdaBoost Machine Learning Classifiers in JupyterLab

Natural language processing is a sub-branch of artificial intelligence. Building a machine or a tool to process the data through natural language processing requires mathematics, statistics, algorithms, and Python programming. Advanced techniques such as Word2Vec can convert words into vectors which makes it easier to process the text through mathematics and deep learning algorithms. Python language can handle the language humans speak, write, and understand. Before we begin ...

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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 # Print dataset to see the pattern of the data g...

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Data Science in 25 Minutes with GP Pulipaka (Ganapathi Pulipaka): Mastering TensorFlow Tutorial

Ganapathi Pulipaka Chief Data Scientist for AI strategy, neural network architectures, application development of Machine learning, Deep Learning algorithms, experience in applying algorithms, integrating IoT platforms, Python, PyTorch, R, JavaScript, Go Lang, and TensorFlow, Big Data, IaaS, IoT, Data Science, Blockchain, Apache Hadoop, Apache Kafka, Apache Spark, Apache Storm, Apache Flink, SQL, NoSQL, Mathematics, Data Mining, Statistical Framework, SIEM with 6+ Yea...

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