English | MP4 | AVC 1920×1080 | AAC 48KHz 2ch | 5h 32m | 968 MB
Master the top 7 powerful and advanced algorithms and excel in Machine Learning
Are you really keen to learn some cool machine learning algorithms that are making headlines these days? Machine learning applications are highly automated and self-modifying, and they continue to improve over time with minimal human intervention as they learn with more data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed that solve these problems perfectly.
This course offers an easy gateway to learn about 7 key algorithms in the realm of Data Science and Machine Learning. You will learn how to pre-cluster your data to optimize and classify it for large datasets. You will then find out how to predict data based on existing trends in your datasets.
This video addresses problems related to accurate and efficient data classification and prediction. Over the course of 7 days, you will be introduced to seven algorithms, along with exercises that will help you learn different aspects of machine learning. This course covers algorithms such as: k-Nearest Neighbors, Naive Bayes, Decision Trees, Random Forest, k-Means, Regression, and Time-Series.
On completion of the course, you will understand which machine learning algorithm to pick for clustering, classification, or regression and which is best suited for your problem. You will be able to easily and confidently build and implement data science algorithms.
This is a fast-paced course offering practical and actionable guidance with step-by-step instructions and assignments to help you master various carefully chosen machine learning algorithms based on their usability and practical applications. You’ll learn about these algorithms not only theoretically but also practically: you’ll build solutions via hands-on instructions using a variety of techniques, which will offer you a detailed perspective about their usage.
What You Will Learn
- Build awesome ML solutions for your business problems
- Easy and fast way to learn and use ML algorithms without being bothered about theoretical jargons
- Apply ML algorithms to design your own solution to business problems
- The course is updated and enhanced, and fully supports Python 3. This guarantees what you’re learning is quite relevant for you today
- Get to know seven ML algorithms in this concise, insightful guide
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