Machine Learning on Python Scikit 101 with Ginger Beer Beginners [ $325]

Learn Python Big Data Science Class Courses

Learn how to analyze, summarize, and visualize data in hands-on classroom and corporate training in New York.

Learn Programming NYC by QcFinance 

Request you to please fill this mandatory registration form- Know Your ClientS (Quick Survey).....!!<a href="https://forms.gle/TWex1xQ7VnRBtrk39" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://forms.gle/TWex1xQ7VnRBtrk39 </a>Course Fee - $325 (Total)Contact Detailsshivgan3@gmail.comShivgan Joshi - 929 356 5046Dr. Vora - +1 (312) 285-6886Weblinks:http://learnprogrammingnyc.com/http://qcfinanceconsultingnyc.site/Our data analytics classes are taught by top instructors using our proprietary curriculum.This course consists of 6 hours of live on-line training (On-line classes are taken on zoom.)Instructors:Shivgan Joshi – Python Data Science InstructorAnkit Vora, PhDAnkur Patel – Data Scientist | Machine Learning | Business IntelligenceMachine Learning has become an integral part of many commercial applications and research projects. This course will teach practical ways to build your machine learning solutions. Machine learning is a form of data analysis that gives computers the ability to learn and process information with little human intervention.Who This Class is For:Anyone who wants a holistic understanding of machine learning! It includes covering and application of algorithms of supervised, unsupervised, and deep learning. This class is for designed for beginners to optimally learn machine learning through small projects in Python. The methodology in machine learning is incredibly useful for companies as it meets their goals – define problem, prepare data, evaluate algorithms, improve results, and present results. Machine Learning Engineers perform these methods along with Data Scientists.Topics Covered:IntroductionSupervised LearningUnsupervised LearningRepresenting Data Feature EngineeringModel Evaluation and ImprovementAlgorithm Chains and PipelinesWorking with Text DataNeural NetworksConclusionProjects:Exploratory Data Analysis using Python libraries.Predicting House/Apartment Prices using Regression techniques.What You’ll Learn:In the mini-projects, you will learn how to perform exploratory data analysis, predictive modeling, and then the core concept of machine learning – model optimization. You will learn to learn the following with quantitative, qualitative, visual, and text data.After taking this course, students should know the methods used in machine learning and have hands-on experience in solving various business problems using R and Python. In this course, students will know the methods and tools widely applied to the field of machine learning: linear models for regression and classification, clustering methods, working with text data, neural networks, reinforcement learning, and other advanced topics. Students will use different business data sets with R and Python.1. Expected to know very little about programming or statistics.2. Watch intro video: https://www.youtube.com/watch?v=2yrqCX_fu643. Microsoft account to use Azure Notebook: https://notebooks.azure.com/shivgan3/libraries/PythonClassesNYCBootcampInstructor:Ankit Vora, PhDAnkit Vora is a research scientist and a co-founder of a startup situated in the city of New York, and his research focuses on detecting cancer using machine learning algorithms. He also works on automating agricultural machinery using artificial intelligence and building smart robotics and drones for a host of applications. Ankit did his doctoral work on metamaterials for solar cells at the Michigan Technological University. He has an extensive teaching and mentoring experience; from mentoring university students, teaching to academic and industry professionals. Ankit has been teaching Python and other programming languages for the past five years to the industry professionals. As Python is gaining momentum and becoming popular, it is finding applications in the high demand fields such as data science, machine learning, artificial intelligence, big data, etc. Ankit has been actively involved in training and nurturing professionals into these high demand fields, especially data science and machine learning using Python. He also does professional consulting for industrial and academic projects.Ankit&#x27;s link to professional profile on LinkedIn: https://www.linkedin.com/in/drankitvoraGoogle Scholar profile: https://scholar.google.com/citations?user=8rrNVZwAAAAJ&amp;hl=enShivgan JoshiShivgan Joshi is an executive trainer and talent acquisition consultant at QcFinance and has worked in the field of data science across disciplines, including engineering, investment banking, and technology. Previously, Joshi served as data science manager for BaiNYC and co-founder of QcFinance. At QcFinance, Joshi developed Python, R, SQL, MatLab, VBA, and BAT courses focused on all aspects of finance, including trading and modeling of quantitative portfolios.He is passionate about elevating businesses through the implementation of data science and data analytics. He has delivered on-line, live, and interactive training sessions to students and executives around the globe. Joshi realizes the value of adequately leveraging data and commits to helping businesses to do successfully. He holds an undergraduate and graduate degree in data science as well as a Master of Business Administration.https://www.udemy.com/user/shivganjoshi2/ [Please check out the python 101 course to know more about the content]https://www.linkedin.com/in/shivganjoshi/https://github.com/shivgan3https://notebooks.azure.com/shivgan3/librariesAnkur PatelAnkur Patel, an assistant executive trainer and talent acquisition consultant at EBS Corp, is a graduate student in M.S. in Data Science. He holds a B.S. in Biomedical Engineering and 2 years of experience in scientific research. As he started the graduate program in data science, he collaborates with many professionals in data science to expand his skillset. He also holds a passion for writing research papers – topics include using machine learning and AI to analyze, evaluate, and predict results in respective project topics such as heart disease, mobile navigation app, twitter API, etc.Through coursework and MOOCs, Ankur has gained skills in areas of machine learning, big data analytics, and data visualization using Python, R, SQL, and Tableau. He has the skills to provide businesses with solutions using data science techniques. He is extremely passionate about using his current skills of data science and analytics, while learning more to grow, and implementing them in businesses. Ankur understands the usage of vast volumes of data and the value is holds. He is just as committed to help businesses understand and use the techniques in data science to expand their business.We also offer affordable courses onPython programming,Data Science and Analysis,Machine Learning,Blockchain technologies, andVBA.Shivgan Joshi929 356 5046https://github.com/shivgan3https://www.linkedin.com/in/shivganjoshi/https://notebooks.azure.com/shivgan3/libraries

Machine Learning on Python Scikit 101 with Ginger Beer Beginners [ $325]

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Machine Learning on Python Scikit 101 with Ginger Beer Beginners [ $325]

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