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- #THE COMPLETE MACHINE LEARNING COURSE WITH PYTHON DOWNLOAD SOFTWARE#
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Together we’re going to give you the foundational education that you need to know not just on how to write code in Python, analyze and visualize data and utilize machine learning algorithms but also how to get paid for your newly developed programming skills. Adding Python coding language skills to your resume will help you in any one of these data specializations requiring mastery of statistical techniques. Python coding experience is either required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers, and much more. Even if you already have some coding experience, or want to learn about the advanced features of the Python programming language, this course is for you!
#THE COMPLETE MACHINE LEARNING COURSE WITH PYTHON DOWNLOAD SOFTWARE#
Any Individuals: Data Engineers, Software Developer, Analyst, IT operations, Architects, Technical Managers, Professional interested in Data Science and Visualisations.We understand that theory is important to build a solid foundation, we understand that theory alone isn’t going to get the job done so that’s why this course is packed with practical hands-on examples that you can follow step by step. Job career: People who are keen to learn and work in domains like Machine Learning, Artificial Intelligence, Business Intelligence, Data Analyst. They are attracting new tools and technologies. They are working with a high volume of data for their business growth. Professional looking for Analytics: Every sector of the industry is moving towards analytics. Pandas library which is used prominently for Data Analysis, Data wrangling and analytics is covered extensively in this course.ĭata Visualization library Matplotlib is covered from Beginner to Advance level in this course it is very useful for pictorial representation and Data Reporting. Algorithms like Regression, Clustering, and Classification are done using the SciKit-Learn library. The course provides the module of Machine Learning with a prominent SciKit -Learn library. The whole module that is provided is based on recent trends and growing job opportunities in the Data Science world. This course covers all the topics from Mathematics to Programming to Visualization techniques that are needed for a Data Scientist role. The main goal of the course is to provide a deeper understanding and hands-on learning experience on the Data Science domain with the help of Python programming language along with real-time Data Science projects to provide an overall knowledge on Data Science domain. Machine learning algorithms such as Regression, Clustering, Classification and prominent libraries such as Pandas, Matplotlib, SciKit -learn is covered from this course. The skills you will attain from this course could make you an expert Data Analyst, Quality Analyst and Business Analyst and Statistical Analyst roles. This course offers a deep and wide range of skills set from Programming to statistics and machine learning algorithms. Passion to Learn: You need to start your course with high motivation and passion to learn.
#THE COMPLETE MACHINE LEARNING COURSE WITH PYTHON DOWNLOAD PC#
System Configuration: We recommend to use any PC or laptop with processor i3+ and RAM recommendation should be at least 4GB with smooth internet connectivity. We will make sure to deliver you with all the fundamental knowledge. We design our course starting with the basics. It will add weight if you know the basics of statistics. The course provides the module of Machine Learning with a prominent SciKit -Learn library.Īlgorithms like Regression, Clustering, and Classification are done using the SciKit-Learn library.īasic Knowledge of Computer Programming terminologies: Any candidate looking for this Data Science with Python Course should be familiar with any of the programming languages. The skills you will attain from this course could make you an expert Data Analyst, Quality Analyst and Business Analyst
The main goal of the course is to provide a deeper understanding and hands-on learning experience on the Data Science Genre: eLearning | Language: English + srt | Duration: 37 lectures (4h 54m) | Size: 1.39 GB