Udemy – Machine Learning with Python Beginner to Guru BOOKWARE-iLEARN
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Deep dive into Machine Learning with Python Programming. Implement practical scenarios & a project on Recommender System
A warm welcome to the Machine Learning with Python course by Uplatz.
Machine learning is a branch of artificial intelligence (AI) that allows computers to learn without having to be explicitly programmed. Machine learning is concerned with the creation of computer programs that can adapt to new data. In this post, we’ll go through the fundamentals of machine learning and how to use Python to construct a simple machine learning algorithm. Many modules have been built by the Python community to assist programmers in implementing machine learning. The NumPy, SciPy, and scikit-learn modules will be used in this course.
Machine learning entails training a computer with a particular data set and then using that training to predict the characteristics of incoming data. Specialized algorithms are used in the training and prediction phase. The training data is sent into an algorithm, which then utilizes the training data to make predictions on fresh test data. Machine Learning (ML) is a branch of computer science that allows computers to make sense of data in the same manner that humans do. In simple terms, machine learning (ML) is a form of artificial intelligence that uses an algorithm or method to extract patterns from raw data. The goal of machine learning is to allow computers to learn from their experiences without having to be explicitly programmed or requiring human involvement.
Course Objectives
Recognize the range and depth of machine learning applications and use cases in real-world applications
Using Python libraries, import and wrangle data, then partition it into training and test datasets
Understand Machine Learning concepts and types of ML
Techniques for preparing data, such as univariate and multivariate analysis, missing values and outlier treatment, and so on
Learn Machine Learning algorithms – regression, classification, clustering, association
Implement various types of classification methods such as SVM, Naive bayes, decision tree, and random forest
Interpret unsupervised learning and learn to use clustering algorithms
Implement linear and polynomial regression, understand Ridge and lasso regression, and implement various types of classification methods such as SVM, Naive bayes, decision tree, and random forest
Overfitting avoidance, Bias-variance tradeoff, Minibatch, and Shuffling, ML solution tuning
Understand various types of Recommender Systems and start building your own!
Uplatz provides this end-to-end training on Machine Learning using Python programming.
You’ll understand what machine learning is and what are the most prevalent approaches in the field are at the conclusion of this learning route. You’ll be able to construct genuine machine learning systems in Python thanks to hands-on lessons. With this Machine Learning course you will become proficient in Python and will see a gradual transition to data science. You will gain a firm grasp of what machine learning is, what the various approaches are, and what machine learning can really do. With this machine learning python training, you can learn how to deal with this new technology.
Graduates, postgraduates, and research students who are interested in this subject or have it as part of their curriculum can benefit from this lesson. The reader may be a novice or a seasoned student. This Machine Learning course has been designed to help students and professionals get up to speed fast. The Machine Learning with Python training serves as a starting point for your Machine Learning adventure.
Who this course is for:
Data Scientists and Senior Data Scientists
Machine Learning Scientists
Python Programmers & Developers
Machine Learning Software Engineers & Developers
Computer Vision Machine Learning Engineers
Beginners and newbies aspiring for a career in Data Science and Machine Learning
Principal Machine Learning Engineers
Machine Learning Researchers & Enthusiasts
Anyone interested to learn Data Science, Machine Learning programming through Python
AI Specialists & Consultants
Python Engineers Machine Learning Ai Data Science
Data, Analytics, AI Consultants & Analysts
Machine Learning Analysts
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