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Machine Learning A-Z™: Hands-On Python & R In Data Science
#1
This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
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#2
Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.
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#3
(04-17-2019, 05:30 AM)examplemallet Wrote: Moreover, the course is packed with practical exercises which are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models.And as a bonus, this course includes both Python and R code templates which you can download and use on your own projects.

Introduction to Python for Data Science, Intermediate Python for Data Science, Python Data Science Toolbox (Part 1& 2), Importing Data in Python (Part 1 &2), Cleaning Data in Python, pandas' foundations, Manipulating Data Frames with pandas, Introduction to Databases in Python, etc.
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#4
In the second part, a learner will able to learn how to collect, clean and analyze big data using popular open source software to perform large-scale data analysis and present findings in a convincing, visual way.
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#5
(04-17-2019, 05:34 AM)examplemallet Wrote: In the second part, a learner will able to learn how to collect, clean and analyze big data using popular open source software to perform large-scale data analysis and present findings in a convincing, visual way.

This Data Science course is dived in ten different sections. 1. Data processing 2. Regression 3. Classification 4. Clustering 5. Association Rule is learning 6. Reinforcement Learning 7. Natural Language Processing 8. Deep Learning 9. Dimensionality Reduction and 10. Model Selection & Boosting.
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#6
ExcelR offers information Science course in urban center, the foremost comprehensive information Science course within the market, covering the entire information Science lifecycle ideas from information assortment, information Extraction, information Cleansing, information Exploration, information Transformation, Feature Engineering, information Integration, data processing, building Prediction models, information image and deploying the answer to the client. Skills and tools starting from applied mathematics Analysis, Text Mining, Regression Modelling, Hypothesis Testing, prognostic Analytics, Machine Learning, Deep Learning, Neural Networks, language process, prognostic Modelling, R Studio, XLMiner, Tableau, Spark, Hadoop, Minitab, programming languages like R programming, Python area unit lined extensively as a part of this information Science coaching.

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#7
(04-17-2019, 05:29 AM)chimpledfoothill Wrote: This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

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#8
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#9
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#10
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