Machine Learning with Python Complete Certification Training by Uplatz Training

Udemy course Machine Learning with Python Complete Certification Training by Uplatz Training

Machine Learning with Python Complete Certification Training is the best Udemy course on the market. With this offer they will be able to greatly improve their knowledge and become more competitive within the Development category. Therefore, if you are looking to improve your Development skills we recommend that you download Machine Learning with Python Complete Certification Training udemy course.

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Course data:

  • Author: Uplatz Training
  • Course rating: 3.5
  • Category: Development
  • Modality: Online
  • Status: Available
  • Idiom: English

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Uplatz is UK-based leading IT Training provider serving students across the globe. Our uniqueness comes from the fact that we provide online training courses at a fraction of the average cost of these courses in the market.

Machine Learning with Python Complete Certification Training

What the udemy Machine Learning with Python Complete Certification Training course teaches?

What you’ll learn Learn the A-Z of Machine Learning from scratch Build your career in Machine Learning, Deep Learning, and Data Science Become a top Machine Learning engineer Core concepts of various Machine Learning methods Mathematical concepts and algorithms used in Machine Learning techniques Solve real world problems using Machine Learning Develop new applications based on Machine Learning Apply machine learning techniques on real world problem or to develop AI based application Analyze and implement Regression techniques Linear Algebra basics A-Z of Python Programming and its application in Machine Learning Python programs, Matplotlib, NumPy, basic GUI application File system, Random module, Pandas Build Age Calculator app using Python Machine Learning basics Types of Machine Learning and their application in real-life scenarios Supervised Learning – Classification and Regression Multiple Regression KNN algorithm, Decision Tree algorithms Unsupervised Learning concepts & algorithms AHC algorithm K-means clustering & DBSCAN algorithm and program Solve and implement solutions of Classification problem Understand and implement Unsupervised Learning algorithms Show more Show less

Learn core concepts of Machine Learning. Apply ML techniques to real-world problems and develop AI/ML based applications

More information about the course Machine Learning with Python Complete Certification Training

A warm welcome to the Machine Learning with Python course by Uplatz . The Machine Learning with Python course aims to teach students/course participants some of the core ideas in machine learning, data science, and AI that will help them go from a real-world business problem to a first-cut, working, and deployable AI solution to the problem. Our main goal is to enable participants use the skills they acquire in this course to create real-world AI solutions. We’ll aim to strike a balance between theory and practice, with a focus on the practical and applied elements of ML. This Python-based Machine Learning training course is designed to help you grasp the fundamentals of machine learning. It will provide you a thorough knowledge of Machine Learning and how it works. As a Data Scientist or Machine Learning engineer, you’ll learn about the relevance of Machine Learning and how to use it in the Python programming language. Machine Learning Algorithms will allow you to automate real-life events. We will explore different practical Machine Learning use cases and practical scenarios at the end of this Machine Learning online course and will build some of them. In this Machine Learning course, you’ll master the fundamentals of machine learning using Python, a popular programming language. Learn about data exploration and machine learning techniques such as supervised and unsupervised learning, regression, and classifications, among others. Experiment with Python and built-in tools like Pandas, Matplotlib, and Scikit-Learn to explore and visualize data. Regression, classification, clustering, and sci-kit learn are all sought-after machine learning abilities to add to your skills and CV. To demonstrate your competence, add fresh projects to your portfolio and obtain a certificate in machine learning. Machine Learning Certification training in Python will teach you about regression, clustering, decision trees, random forests, Nave Bayes, and Q-Learning, among other machine learning methods. This Machine Learning course will also teach you about statistics, time series, and the many types of machine learning algorithms, such as supervised, unsupervised, and reinforcement algorithms. You’ll be solving real-life case studies in media, healthcare, social media, aviation, and human resources throughout the Python Machine Learning Training. Course Outcomes: After completion of this course, student will be able to: Understand about the roles & responsibilities that a Machine Learning Engineer plays Python may be used to automate data analysis Explain what machine learning is Work with data that is updated in real time Learn about predictive modelling tools and methodologies Discuss machine learning algorithms and how to put them into practice Validate the algorithms of machine learning Explain what a time series is and how it is linked to other ideas Learn how to conduct business in the future while living in the now Apply machine learning techniques on real world problem or to develop AI based application Analyze and Implement Regression techniques Solve and Implement solution of Classification problem Understand and implement Unsupervised learning algorithms Objective: Learning basic concepts of various machine learning methods is primary objective of this course. This course specifically make student able to learn mathematical concepts, and algorithms used in machine learning techniques for solving real world problems and developing new applications based on machine learning. Topics Python for Machine Learning Introduction of Python for ML, Python modules for ML, Dataset, Apply Algorithms on datasets, Result Analysis from dataset, Future Scope of ML. Introduction to Machine Learning What is Machine Learning, Basic Terminologies of Machine Learning, Applications of ML, different Machine learning techniques, Difference between Data Mining and Predictive Analysis, Tools and Techniques of Machine Learning. Types of Machine Learning…

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