• views: 170
• date: 19 October 2024
• posted by: 0nelove

What you'll learn
Machine Learning -[A -Z] Comprehensive Training with Step by step guidance
Supervised Learning - (Univariate Linear regression, Multivariate Linear Regression, Logistic regression, Naive Bayes Classifier, Trees, SVM, Random Forest)
Unsupervised Learning - Clustering, K-Means clustering
Data Pre-processing - Data Preprocessing is that step in which the data gets transformed, or Encoded
Evaluating the Machine Learning Algorithms : Precision, Recall, F-Measure, Confusion Matrices,
Deep Convolutional Generative Adversarial Networks (DCGAN)
Java Programming For Data Scientists
Python Programming Basics For Data Science
Algorithm Analysis For Data Scientists
Requirements
Computer & Internet Connection
Description
Academy of Computing & Artificial Intelligence proudly presents you the course "Professional Certificate in Data Mining & Machine Learning".mIt all started when the expert team of The Academy of Computing & Artificial Intelligence[ACAI] (PhD, PhD Candidates, Senior Lecturers , Consultants , Researchers) and Industry Experts . hiring managers were having a discussion on the most highly paid jobs & skills in the IT/Computer Science / Engineering / Data Science sector in 2023. To make the course more interactive, we have also provided a live code demonstration where we explain to you how we could apply each concept/principle[Step by step guidance]. Each & every step is clearly explained.[Guided Tutorials]"While artificial intelligence (AI) is the broad science of mimicking human abilities, machine learning is a specific subset of AI that trains a machine how to learn. Watch this video to better understand the relationship between AI and machine learning. You'll see how these two technologies work, with useful examples and a few funny asides."Course Learning OutcomesTo provide a solid awareness of Supervised & Unsupervised learning coming under Machine LearningExplain the appropriate usage of Machine Learning techniques.To build appropriate neural models from using state-of-the-art python framework.To build neural models from scratch, following step-by-step instructions. To build end - to - end effective solutions to resolve real-world problems To critically review and select the most appropriate machine learning solutionspython programming is also inclusive. RequirementsA computer with internet connectionPassion & commitment At the end of the Course you will gain the following # Learn to Build 500+ Projects with source code# Strong knowledge of Fundamentals in Machine Learning# Apply for the Dream job in Data Science # Gain knowledge for your University ProjectSetting up the Environment for Python Machine LearningUnderstanding Data With Statistics & Data Pre-processing Data Pre-processing - Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python,feature Selection Techniques : Univariate SelectionData Visualization with Python -charting will be discussed here with step by step guidance, Data preparation and Bar Chart,Histogram , Pie Chart, etc..Artificial Neural Networks with Python, KERASKERAS Tutorial - Developing an Artificial Neural Network in Python -Step by StepDeep Learning -Handwritten Digits Recognition[Step by Step][Complete Project ]Naive Bayes Classifier with Python[Lecture & Demo]Linear regressionLogistic regressionIntroduction to clustering[K - Means Clustering ]K - Means ClusteringWhat if you have questions?we offer full support, answering any questions you have.There's no risk !Who this course is for:Anyone who is interested of Data Mining & Machine Learning
Who this course is for
Anyone who wish to start a career in Machine Learning
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