R for Data Science Your First Step as a Data Scientist

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名前:	R for Data Science Your First Step as a Data Scientist
_DESCRIPTION_: Description So, you’ve learned a bit of R Basics and are looking to understand how R can be used for Data Science? And are looking for a course that explains all the theory behind algorithms with coding? R is on of the de facto languages for a lot of Data Science projects today – either for enterprise-level projects or research, R is a modern and flexible language with a smooth learning curve that enables most professionals to build predictive models in quick fashion. This course was designed to be your next step into the R programming world! We will delve deeper into the concepts of Linear and Logistic Regression, understand how Tree Based models work, learn how to evaluate predictive models and more. This course contains lectures around the following groups: Code along lectures where you will see how we can implement the stuff we will learn! Test your knowledge with questions and practical exercises with different levels of difficulty! This course was designed to be focused on the practical side of coding in R – other than studying the functions that let us build algorithms automatically we will investigate deeply how models are trained and how they get to the optimum solution to solve our data science projects. At the end of the course you should be able to use R in a data science context – understanding the choices you have to make when it comes to algorithms and learn how to evaluate those choises. Along the way you will also learn how to manipulate data with Dplyr because most of the times, in a Data Science project, more than half of time is spent on data preparation! Here are some examples of things you will be able to do after finishing the course: Solving Regression problems using Linear Regression or Regression Trees. Solving Classification problems using Logistic Regression or Classification Trees. Learn how to evaluate algorithms using different metrics. Understanding the concept of bias and variance. Using Random Forests and understanding the reasoning behind them. Manipulating data using Dplyr. Build your own Kaggle Data Science project! Join thousands of professionals and students in this R journey and discover the amazing power of this statistical open-source language. This course will be constantly updated based on students feedback. Who this course is for: Entry-Level Data Scientists R Coders Statisticians Business Analysts Financial Modelers Requirements Computer with at least 4 GB of RAM Knowing the Basics of R Programming (R Objects, Functions and Libraries) Last Updated 8/2021
YouTube動画:
カテゴリ:	Tutorials
言語:	English
合計サイズ:	5.42 GB
情報のハッシュ:	554098E5ACB635686A3267DD65FE13C67429E7C8
を追加することによって:	tutsnode
追加日:	2021-08-31 09:10:29
トレントステータス:	Torrent Verified

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[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/01 Introduction/001 Welcome to the Course!.en.srt	17.62 kB
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[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/08 Tree Based Models - Decision Trees/010 Regression Trees - Fitting the Algorithm.mp4	52.05 MB
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[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/09 Tree Based Models - Random Forests/001 Random Forest Intuition and Subsetting Data.en.srt	10.41 kB
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[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/09 Tree Based Models - Random Forests/003 Building a Random Forest from Scratch with Three Estimators.en.srt	10.88 kB
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[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/09 Tree Based Models - Random Forests/004 Measuring the Accuracy of Each Trees and of the Ensemble Average.en.srt	4.69 kB
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[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/09 Tree Based Models - Random Forests/005 Random Forest - R Package Implementation.en.srt	8.37 kB
[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/09 Tree Based Models - Random Forests/005 Random Forest - R Package Implementation.mp4	48.16 MB
[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/10 Data Science Project - Kaggle Taxi Trip Duration/001 Data Science Project - Taxi Trip Duration Project - Introduction.en.srt	5.64 kB
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[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/10 Data Science Project - Kaggle Taxi Trip Duration/002 Exploratory Data Analysis - Loading Taxi Trip and Analyzing Outliers.en.srt	12.02 kB
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[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/10 Data Science Project - Kaggle Taxi Trip Duration/004 Feature Engineering - Time Based Features.en.srt	15.69 kB
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[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/10 Data Science Project - Kaggle Taxi Trip Duration/005 Feature Engineering - Visualizing Trip Duration per Feature.en.srt	8.67 kB
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[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/10 Data Science Project - Kaggle Taxi Trip Duration/006 Feature Engineering - Building Location Based Features (Manhattan and Euclidean).en.srt	12.67 kB
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[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/10 Data Science Project - Kaggle Taxi Trip Duration/009 Modelling - Preparing Data for Modelling.en.srt	14.20 kB
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[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/10 Data Science Project - Kaggle Taxi Trip Duration/013 Modelling - Building Custom Experiments _ Hyperparameter Tuning.en.srt	7.96 kB
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[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/11 Thank you!/001 Bonus Lecture - Other Courses.html	1.72 kB
[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/11 Thank you!/002 Detailed Feedback.html	1.19 kB
[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/11 Thank you!/003 Final Notes.en.srt	1.86 kB
[TutsNode.com] - R for Data Science Your First Step as a Data Scientist/11 Thank you!/003 Final Notes.mp4	13.80 MB

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R for Data Science Your First Step as a Data Scientist