Download R for Data Science: Your First Step as a Data Scientist Torrent

Torrent Contents Size: 5.39 GB

R for Data Science: Your First Step as a Data Scientist

01 Introduction

001 Welcome to the Course!.en.srt	SRT	17.62 KB
001 Welcome to the Course!.mp4	MP4	128.49 MB
002 Course Materials.html	HTML	1.32 KB
external-assets-links.txt	TXT	231 B

02 Setting up Environment - R and R Studio

001 Installing R.en.srt	SRT	8.89 KB
001 Installing R.mp4	MP4	74.23 MB
002 Installing R Studio.en.srt	SRT	10.84 KB
002 Installing R Studio.mp4	MP4	90.03 MB
external-assets-links.txt	TXT	120 B

03 Installing Libraries

001 Installing Libraries.en.srt	SRT	14.02 KB
001 Installing Libraries.mp4	MP4	140.74 MB
002 Loading Libraries.en.srt	SRT	2.77 KB
002 Loading Libraries.mp4	MP4	27.06 MB
003 Let's start!.en.srt	SRT	995 B
003 Let's start!.mp4	MP4	6.89 MB

04 Manipulating Data with Dplyr

001 Intro to Dplyr and Tibble Data Structure.en.srt	SRT	7.82 KB
001 Intro to Dplyr and Tibble Data Structure.mp4	MP4	38.82 MB
002 Filter and Pipe Format.en.srt	SRT	9 KB
002 Filter and Pipe Format.mp4	MP4	51.64 MB
003 Glimpse and Lists as Columns.en.srt	SRT	4.64 KB
003 Glimpse and Lists as Columns.mp4	MP4	32.98 MB
004 Function Encapsulation and Multiple Arguments.en.srt	SRT	4.42 KB
004 Function Encapsulation and Multiple Arguments.mp4	MP4	27.74 MB
005 Arrange and Mutate.en.srt	SRT	10 KB
005 Arrange and Mutate.mp4	MP4	74.83 MB
006 Select and Distinct.en.srt	SRT	6.31 KB
006 Select and Distinct.mp4	MP4	36.96 MB
007 Sample_N and Sample_Frac.en.srt	SRT	4.23 KB
007 Sample_N and Sample_Frac.mp4	MP4	30.43 MB
008 Summarize and Group By.en.srt	SRT	4.45 KB
008 Summarize and Group By.mp4	MP4	29.82 MB
009 Joining Dataframes.en.srt	SRT	8.82 KB
009 Joining Dataframes.mp4	MP4	61.68 MB
010 Small Typo.html	HTML	1.07 KB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

05 Linear Regression

001 Linear Regression - Introduction.en.srt	SRT	1.76 KB
001 Linear Regression - Introduction.mp4	MP4	12.76 MB
002 Loading the Data into R.en.srt	SRT	5.67 KB
002 Loading the Data into R.mp4	MP4	33.02 MB
003 Plotting Feature (Age) and Target (Income) Variables.en.srt	SRT	5.64 KB
003 Plotting Feature (Age) and Target (Income) Variables.mp4	MP4	34.35 MB
004 Fitting a Random Line.en.srt	SRT	6.72 KB
004 Fitting a Random Line.mp4	MP4	39.57 MB
005 Adjusting the Weight of our Linear Model.en.srt	SRT	4.85 KB
005 Adjusting the Weight of our Linear Model.mp4	MP4	29.83 MB
006 Training our First Linear Model.en.srt	SRT	6.84 KB
006 Training our First Linear Model.mp4	MP4	40.11 MB
007 Linear Regression Evaluation.en.srt	SRT	18.01 KB
007 Linear Regression Evaluation.mp4	MP4	108.62 MB
008 Linear Regression Closed Form Solution.en.srt	SRT	17.38 KB
008 Linear Regression Closed Form Solution.mp4	MP4	82 MB
009 Gradient Descent Intuition - Part 1.en.srt	SRT	20.74 KB
009 Gradient Descent Intuition - Part 1.mp4	MP4	130.75 MB
010 Gradient Descent Intuition - Part 2.en.srt	SRT	12.66 KB
010 Gradient Descent Intuition - Part 2.mp4	MP4	84.22 MB
011 Visualizing Gradient Descent.en.srt	SRT	12.58 KB
011 Visualizing Gradient Descent.mp4	MP4	70.95 MB
012 Multivariate Linear Regression.en.srt	SRT	19.41 KB
012 Multivariate Linear Regression.mp4	MP4	109.49 MB

06 Classification Problems and Logistic Regression

001 Classification Problems - Introduction.en.srt	SRT	2.73 KB
001 Classification Problems - Introduction.mp4	MP4	10.11 MB
002 Classification Problems Intuition - Why Linear Regression is unfit.en.srt	SRT	15.63 KB
002 Classification Problems Intuition - Why Linear Regression is unfit.mp4	MP4	81.78 MB
003 Calculating Sigmoid Function and Fitting a Logistic Regression.en.srt	SRT	10 KB
003 Calculating Sigmoid Function and Fitting a Logistic Regression.mp4	MP4	56.35 MB
004 Summary of Logistic Regression and Accuracy.en.srt	SRT	10.96 KB
004 Summary of Logistic Regression and Accuracy.mp4	MP4	69.32 MB
005 Log-Loss Function Intuition.en.srt	SRT	19.41 KB
005 Log-Loss Function Intuition.mp4	MP4	93.9 MB
006 Gradient Descent Intuition - Classification.en.srt	SRT	12.48 KB
006 Gradient Descent Intuition - Classification.mp4	MP4	74.48 MB
007 Visualizing Log-Loss in 3 Dimensions.en.srt	SRT	13.3 KB
007 Visualizing Log-Loss in 3 Dimensions.mp4	MP4	79.69 MB

07 Model Evaluation and Selection

001 Model Evaluation and Selection - Introduction.en.srt	SRT	3.13 KB
001 Model Evaluation and Selection - Introduction.mp4	MP4	7.84 MB
002 Example of a High Bias Model.en.srt	SRT	15.18 KB
002 Example of a High Bias Model.mp4	MP4	88.85 MB
003 Example of a High Variance Model.en.srt	SRT	18.86 KB
003 Example of a High Variance Model.mp4	MP4	132.19 MB
004 Evaluating the Model on Unseen Data.en.srt	SRT	19.55 KB
004 Evaluating the Model on Unseen Data.mp4	MP4	134.27 MB
005 Randomized Train and Test Split.en.srt	SRT	16.84 KB
005 Randomized Train and Test Split.mp4	MP4	73.17 MB
006 Performance across Training and Test Data.en.srt	SRT	20.75 KB
006 Performance across Training and Test Data.mp4	MP4	127.72 MB
007 Regression Metrics - Plotting the Residuals.en.srt	SRT	17.91 KB
007 Regression Metrics - Plotting the Residuals.mp4	MP4	104.4 MB
008 Regression Metrics - MSE, MAE and RMSE.en.srt	SRT	10.11 KB
008 Regression Metrics - MSE, MAE and RMSE.mp4	MP4	61.29 MB
009 Regression Metrics - R-Square Breakdown and MAPE.en.srt	SRT	10.64 KB
009 Regression Metrics - R-Square Breakdown and MAPE.mp4	MP4	61.94 MB
010 Classification Metrics - Fitting Logistic Regression and Confusion Matrix Intro.en.srt	SRT	16.64 KB
010 Classification Metrics - Fitting Logistic Regression and Confusion Matrix Intro.mp4	MP4	90.31 MB
011 Classification Metrics - TP, FP, TN, FN.en.srt	SRT	4.8 KB
011 Classification Metrics - TP, FP, TN, FN.mp4	MP4	27.89 MB
012 Classification Metrics - Precision, Recall and F-Score.en.srt	SRT	8.2 KB
012 Classification Metrics - Precision, Recall and F-Score.mp4	MP4	40.68 MB
013 Classification Metrics - Building ROC Curve.en.srt	SRT	14.3 KB
013 Classification Metrics - Building ROC Curve.mp4	MP4	83 MB
014 Classification Metrics - ROCR Package and Area Under the Curve.en.srt	SRT	9.15 KB
014 Classification Metrics - ROCR Package and Area Under the Curve.mp4	MP4	45.65 MB

08 Tree Based Models - Decision Trees

001 Classification Trees - Problem Evaluation and Fitting a Logistic Regression.en.srt	SRT	12.54 KB
001 Classification Trees - Problem Evaluation and Fitting a Logistic Regression.mp4	MP4	69.27 MB
002 Classification Trees - First Split and Gini Impurity Concept.en.srt	SRT	18.15 KB
002 Classification Trees - First Split and Gini Impurity Concept.mp4	MP4	112.5 MB
003 Classification Trees - Finding the Best Split with Minimum Gini Impurity.en.srt	SRT	11.64 KB
003 Classification Trees - Finding the Best Split with Minimum Gini Impurity.mp4	MP4	82.77 MB
004 Classification Trees - Fitting a Decision Tree using RPart.en.srt	SRT	7.49 KB
004 Classification Trees - Fitting a Decision Tree using RPart.mp4	MP4	43.42 MB
005 Classification Trees - Adding more Thresholds and Visualizing Classification.en.srt	SRT	7.97 KB
005 Classification Trees - Adding more Thresholds and Visualizing Classification.mp4	MP4	45.41 MB
006 Classification Trees - Tweaking Hyperparameters and Checking Accuracy.en.srt	SRT	6.15 KB
006 Classification Trees - Tweaking Hyperparameters and Checking Accuracy.mp4	MP4	36.16 MB
007 Regression Trees - Intuition.en.srt	SRT	15.47 KB
007 Regression Trees - Intuition.mp4	MP4	84.81 MB
008 Regression Trees - Calculating Residual Sum of Squares.en.srt	SRT	6.28 KB
008 Regression Trees - Calculating Residual Sum of Squares.mp4	MP4	38.52 MB
009 Regression Trees - Finding the Best Split with Residual Sum of Squares.en.srt	SRT	7.86 KB
009 Regression Trees - Finding the Best Split with Residual Sum of Squares.mp4	MP4	54.97 MB
010 Regression Trees - Fitting the Algorithm.en.srt	SRT	8.53 KB
010 Regression Trees - Fitting the Algorithm.mp4	MP4	52.05 MB
011 Regression Trees - Comparing between Tree and Linear Model.en.srt	SRT	17.57 KB
011 Regression Trees - Comparing between Tree and Linear Model.mp4	MP4	119.73 MB

09 Tree Based Models - Random Forests

001 Random Forest Intuition and Subsetting Data.en.srt	SRT	10.41 KB
001 Random Forest Intuition and Subsetting Data.mp4	MP4	49.32 MB
002 Fitting Different Decision Trees.en.srt	SRT	12.81 KB
002 Fitting Different Decision Trees.mp4	MP4	85.88 MB
003 Building a Random Forest from Scratch with Three Estimators.en.srt	SRT	10.88 KB
003 Building a Random Forest from Scratch with Three Estimators.mp4	MP4	73.81 MB
004 Measuring the Accuracy of Each Trees and of the Ensemble Average.en.srt	SRT	4.69 KB
004 Measuring the Accuracy of Each Trees and of the Ensemble Average.mp4	MP4	35.57 MB
005 Random Forest - R Package Implementation.en.srt	SRT	8.37 KB
005 Random Forest - R Package Implementation.mp4	MP4	48.16 MB

10 Data Science Project - Kaggle Taxi Trip Duration

001 Data Science Project - Taxi Trip Duration Project - Introduction.en.srt	SRT	5.64 KB
001 Data Science Project - Taxi Trip Duration Project - Introduction.mp4	MP4	21.06 MB
002 Exploratory Data Analysis - Loading Taxi Trip and Analyzing Outliers.en.srt	SRT	12.02 KB
002 Exploratory Data Analysis - Loading Taxi Trip and Analyzing Outliers.mp4	MP4	68.78 MB
003 Exploratory Data Analysis - Removing Outliers.en.srt	SRT	15.46 KB
003 Exploratory Data Analysis - Removing Outliers.mp4	MP4	106.4 MB
004 Feature Engineering - Time Based Features.en.srt	SRT	15.69 KB
004 Feature Engineering - Time Based Features.mp4	MP4	89.19 MB
005 Feature Engineering - Visualizing Trip Duration per Feature.en.srt	SRT	8.67 KB
005 Feature Engineering - Visualizing Trip Duration per Feature.mp4	MP4	62.52 MB
006 Feature Engineering - Building Location Based Features (Manhattan and Euclidean).en.srt	SRT	12.67 KB
006 Feature Engineering - Building Location Based Features (Manhattan and Euclidean).mp4	MP4	89.06 MB
007 Feature Engineering - Visualizing Correlation and Adding Features to our table.en.srt	SRT	15.5 KB
007 Feature Engineering - Visualizing Correlation and Adding Features to our table.mp4	MP4	111.25 MB
008 Feature Engineering - Creating Weekday feature and Building Data Pipeline.en.srt	SRT	16.74 KB
008 Feature Engineering - Creating Weekday feature and Building Data Pipeline.mp4	MP4	108.24 MB
009 Modelling - Preparing Data for Modelling.en.srt	SRT	14.2 KB
009 Modelling - Preparing Data for Modelling.mp4	MP4	89.19 MB
010 Modelling - Fitting Linear Regression.en.srt	SRT	10.31 KB
010 Modelling - Fitting Linear Regression.mp4	MP4	69.39 MB
011 Modelling - Training a Random Forest.en.srt	SRT	18.44 KB
011 Modelling - Training a Random Forest.mp4	MP4	112.62 MB
012 Modelling - Caret Implementation and API.en.srt	SRT	9.23 KB
012 Modelling - Caret Implementation and API.mp4	MP4	60.13 MB
013 Modelling - Building Custom Experiments _ Hyperparameter Tuning.en.srt	SRT	7.96 KB
013 Modelling - Building Custom Experiments _ Hyperparameter Tuning.mp4	MP4	56.93 MB
014 Modelling - Evaluating Best Model.en.srt	SRT	6.75 KB
014 Modelling - Evaluating Best Model.mp4	MP4	49.22 MB
015 Evaluating - Preparing New Data for Scoring.en.srt	SRT	23.66 KB
015 Evaluating - Preparing New Data for Scoring.mp4	MP4	141.5 MB
016 Evaluating - Scoring New Data and Submitting do Kaggle.en.srt	SRT	9.85 KB
016 Evaluating - Scoring New Data and Submitting do Kaggle.mp4	MP4	61.69 MB
GetFreeCourses.Co.url	URL	116 B
How you can help GetFreeCourses.Co.txt	TXT	182 B

11 Thank you!

001 Bonus Lecture - Other Courses.html	HTML	1.72 KB
002 Detailed Feedback.html	HTML	1.19 KB
003 Final Notes.en.srt	SRT	1.86 KB
003 Final Notes.mp4	MP4	13.8 MB

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R for Data Science: Your First Step as a Data Scientist

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