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Udemy - Professional Certificate in Machine Learning - Panter - 01.06.2021 Udemy - Professional Certificate in Machine Learning Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | VTT | Size: 10.4 GB | Duration: 24h 0m Learn all the skills to become a Data Scientist & Build 500+ Artificial Intelligence Projects with source 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, Support Vector Machines, Random Forest) Unsupervised Learning - Clustering, K-Means clustering Data Pre-processing - Data Preprocessing is that step in which the data gets transformed, or Encoded, to bring it to such a state that now the machine can easily parse it. 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 Description Academy of Computing & Artificial Intelligence proudly presents you the course "Professional Certificate in Data Mining & Machine Learning".m It 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 2020. 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 Outcomes To provide a solid awareness of Supervised & Unsupervised learning coming under Machine Learning Explain 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 solutions python programming is also inclusive. Requirements A computer with internet connection Passion & 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 Project Setting up the Environment for Python Machine Learning Understanding Data With Statistics & Data Pre-processing Data Pre-processing - Scaling with a demonstration in python, Normalization , Binarization , Standardization in Python,feature Selection Techniques : Univariate Selection Data 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, KERAS KERAS Tutorial - Developing an Artificial Neural Network in Python -Step by Step Deep Learning -Handwritten Digits Recognition [Step by Step] [Complete Project ] Naive Bayes Classifier with Python [Lecture & Demo] Linear regression Logistic regression Introduction to clustering [K - Means Clustering ] K - Means Clustering Homepage Code: https://anonymz.com/?https://www.udemy.com/course/professional-certificate-in-machine-learning/ |