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GetFreeCourses.Co-Udemy-R for Data Science Your First Step as a Data Scientist

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File Name
Size
01 Introduction/001 Welcome to the Course!.en.srt
18 kB
01 Introduction/001 Welcome to the Course!.mp4
128 MB
01 Introduction/002 Course Materials.html
1.3 kB
01 Introduction/external-assets-links.txt
231 B
02 Setting up Environment - R and R Studio/001 Installing R.en.srt
8.9 kB
02 Setting up Environment - R and R Studio/001 Installing R.mp4
74 MB
02 Setting up Environment - R and R Studio/002 Installing R Studio.en.srt
11 kB
02 Setting up Environment - R and R Studio/002 Installing R Studio.mp4
90 MB
02 Setting up Environment - R and R Studio/external-assets-links.txt
120 B
03 Installing Libraries/001 Installing Libraries.en.srt
14 kB
03 Installing Libraries/001 Installing Libraries.mp4
141 MB
03 Installing Libraries/002 Loading Libraries.en.srt
2.8 kB
03 Installing Libraries/002 Loading Libraries.mp4
27 MB
03 Installing Libraries/003 Let's start!.en.srt
995 B
03 Installing Libraries/003 Let's start!.mp4
6.9 MB
04 Manipulating Data with Dplyr/001 Intro to Dplyr and Tibble Data Structure.en.srt
7.8 kB
04 Manipulating Data with Dplyr/001 Intro to Dplyr and Tibble Data Structure.mp4
39 MB
04 Manipulating Data with Dplyr/002 Filter and Pipe Format.en.srt
9.0 kB
04 Manipulating Data with Dplyr/002 Filter and Pipe Format.mp4
52 MB
04 Manipulating Data with Dplyr/003 Glimpse and Lists as Columns.en.srt
4.6 kB
04 Manipulating Data with Dplyr/003 Glimpse and Lists as Columns.mp4
33 MB
04 Manipulating Data with Dplyr/004 Function Encapsulation and Multiple Arguments.en.srt
4.4 kB
04 Manipulating Data with Dplyr/004 Function Encapsulation and Multiple Arguments.mp4
28 MB
04 Manipulating Data with Dplyr/005 Arrange and Mutate.en.srt
10 kB
04 Manipulating Data with Dplyr/005 Arrange and Mutate.mp4
75 MB
04 Manipulating Data with Dplyr/006 Select and Distinct.en.srt
6.3 kB
04 Manipulating Data with Dplyr/006 Select and Distinct.mp4
37 MB
04 Manipulating Data with Dplyr/007 Sample_N and Sample_Frac.en.srt
4.2 kB
04 Manipulating Data with Dplyr/007 Sample_N and Sample_Frac.mp4
30 MB
04 Manipulating Data with Dplyr/008 Summarize and Group By.en.srt
4.4 kB
04 Manipulating Data with Dplyr/008 Summarize and Group By.mp4
30 MB
04 Manipulating Data with Dplyr/009 Joining Dataframes.en.srt
8.8 kB
04 Manipulating Data with Dplyr/009 Joining Dataframes.mp4
62 MB
04 Manipulating Data with Dplyr/010 Small Typo.html
1.1 kB
04 Manipulating Data with Dplyr/GetFreeCourses.Co.url
116 B
04 Manipulating Data with Dplyr/How you can help GetFreeCourses.Co.txt
182 B
05 Linear Regression/001 Linear Regression - Introduction.en.srt
1.8 kB
05 Linear Regression/001 Linear Regression - Introduction.mp4
13 MB
05 Linear Regression/002 Loading the Data into R.en.srt
5.7 kB
05 Linear Regression/002 Loading the Data into R.mp4
33 MB
05 Linear Regression/003 Plotting Feature (Age) and Target (Income) Variables.en.srt
5.6 kB
05 Linear Regression/003 Plotting Feature (Age) and Target (Income) Variables.mp4
34 MB
05 Linear Regression/004 Fitting a Random Line.en.srt
6.7 kB
05 Linear Regression/004 Fitting a Random Line.mp4
40 MB
05 Linear Regression/005 Adjusting the Weight of our Linear Model.en.srt
4.9 kB
05 Linear Regression/005 Adjusting the Weight of our Linear Model.mp4
30 MB
05 Linear Regression/006 Training our First Linear Model.en.srt
6.8 kB
05 Linear Regression/006 Training our First Linear Model.mp4
40 MB
05 Linear Regression/007 Linear Regression Evaluation.en.srt
18 kB
05 Linear Regression/007 Linear Regression Evaluation.mp4
109 MB
05 Linear Regression/008 Linear Regression Closed Form Solution.en.srt
17 kB
05 Linear Regression/008 Linear Regression Closed Form Solution.mp4
82 MB
05 Linear Regression/009 Gradient Descent Intuition - Part 1.en.srt
21 kB
05 Linear Regression/009 Gradient Descent Intuition - Part 1.mp4
131 MB
05 Linear Regression/010 Gradient Descent Intuition - Part 2.en.srt
13 kB
05 Linear Regression/010 Gradient Descent Intuition - Part 2.mp4
84 MB
05 Linear Regression/011 Visualizing Gradient Descent.en.srt
13 kB
05 Linear Regression/011 Visualizing Gradient Descent.mp4
71 MB
05 Linear Regression/012 Multivariate Linear Regression.en.srt
19 kB
05 Linear Regression/012 Multivariate Linear Regression.mp4
110 MB
06 Classification Problems and Logistic Regression/001 Classification Problems - Introduction.en.srt
2.7 kB
06 Classification Problems and Logistic Regression/001 Classification Problems - Introduction.mp4
10 MB
06 Classification Problems and Logistic Regression/002 Classification Problems Intuition - Why Linear Regression is unfit.en.srt
16 kB
06 Classification Problems and Logistic Regression/002 Classification Problems Intuition - Why Linear Regression is unfit.mp4
82 MB
06 Classification Problems and Logistic Regression/003 Calculating Sigmoid Function and Fitting a Logistic Regression.en.srt
10 kB
06 Classification Problems and Logistic Regression/003 Calculating Sigmoid Function and Fitting a Logistic Regression.mp4
56 MB
06 Classification Problems and Logistic Regression/004 Summary of Logistic Regression and Accuracy.en.srt
11 kB
06 Classification Problems and Logistic Regression/004 Summary of Logistic Regression and Accuracy.mp4
69 MB
06 Classification Problems and Logistic Regression/005 Log-Loss Function Intuition.en.srt
19 kB
06 Classification Problems and Logistic Regression/005 Log-Loss Function Intuition.mp4
94 MB
06 Classification Problems and Logistic Regression/006 Gradient Descent Intuition - Classification.en.srt
12 kB
06 Classification Problems and Logistic Regression/006 Gradient Descent Intuition - Classification.mp4
74 MB
06 Classification Problems and Logistic Regression/007 Visualizing Log-Loss in 3 Dimensions.en.srt
13 kB
06 Classification Problems and Logistic Regression/007 Visualizing Log-Loss in 3 Dimensions.mp4
80 MB
07 Model Evaluation and Selection/001 Model Evaluation and Selection - Introduction.en.srt
3.1 kB
07 Model Evaluation and Selection/001 Model Evaluation and Selection - Introduction.mp4
7.8 MB
07 Model Evaluation and Selection/002 Example of a High Bias Model.en.srt
15 kB
07 Model Evaluation and Selection/002 Example of a High Bias Model.mp4
89 MB
07 Model Evaluation and Selection/003 Example of a High Variance Model.en.srt
19 kB
07 Model Evaluation and Selection/003 Example of a High Variance Model.mp4
132 MB
07 Model Evaluation and Selection/004 Evaluating the Model on Unseen Data.en.srt
20 kB
07 Model Evaluation and Selection/004 Evaluating the Model on Unseen Data.mp4
134 MB
07 Model Evaluation and Selection/005 Randomized Train and Test Split.en.srt
17 kB
07 Model Evaluation and Selection/005 Randomized Train and Test Split.mp4
73 MB
07 Model Evaluation and Selection/006 Performance across Training and Test Data.en.srt
21 kB
07 Model Evaluation and Selection/006 Performance across Training and Test Data.mp4
128 MB
07 Model Evaluation and Selection/007 Regression Metrics - Plotting the Residuals.en.srt
18 kB
07 Model Evaluation and Selection/007 Regression Metrics - Plotting the Residuals.mp4
104 MB
07 Model Evaluation and Selection/008 Regression Metrics - MSE, MAE and RMSE.en.srt
10 kB
07 Model Evaluation and Selection/008 Regression Metrics - MSE, MAE and RMSE.mp4
61 MB
07 Model Evaluation and Selection/009 Regression Metrics - R-Square Breakdown and MAPE.en.srt
11 kB
07 Model Evaluation and Selection/009 Regression Metrics - R-Square Breakdown and MAPE.mp4
62 MB
07 Model Evaluation and Selection/010 Classification Metrics - Fitting Logistic Regression and Confusion Matrix Intro.en.srt
17 kB
07 Model Evaluation and Selection/010 Classification Metrics - Fitting Logistic Regression and Confusion Matrix Intro.mp4
90 MB
07 Model Evaluation and Selection/011 Classification Metrics - TP, FP, TN, FN.en.srt
4.8 kB
07 Model Evaluation and Selection/011 Classification Metrics - TP, FP, TN, FN.mp4
28 MB
07 Model Evaluation and Selection/012 Classification Metrics - Precision, Recall and F-Score.en.srt
8.2 kB
07 Model Evaluation and Selection/012 Classification Metrics - Precision, Recall and F-Score.mp4
41 MB
07 Model Evaluation and Selection/013 Classification Metrics - Building ROC Curve.en.srt
14 kB
07 Model Evaluation and Selection/013 Classification Metrics - Building ROC Curve.mp4
83 MB
07 Model Evaluation and Selection/014 Classification Metrics - ROCR Package and Area Under the Curve.en.srt
9.1 kB
07 Model Evaluation and Selection/014 Classification Metrics - ROCR Package and Area Under the Curve.mp4
46 MB
08 Tree Based Models - Decision Trees/001 Classification Trees - Problem Evaluation and Fitting a Logistic Regression.en.srt
12 kB
08 Tree Based Models - Decision Trees/001 Classification Trees - Problem Evaluation and Fitting a Logistic Regression.mp4
69 MB
08 Tree Based Models - Decision Trees/002 Classification Trees - First Split and Gini Impurity Concept.en.srt
18 kB
08 Tree Based Models - Decision Trees/002 Classification Trees - First Split and Gini Impurity Concept.mp4
112 MB
08 Tree Based Models - Decision Trees/003 Classification Trees - Finding the Best Split with Minimum Gini Impurity.en.srt
12 kB
08 Tree Based Models - Decision Trees/003 Classification Trees - Finding the Best Split with Minimum Gini Impurity.mp4
83 MB
08 Tree Based Models - Decision Trees/004 Classification Trees - Fitting a Decision Tree using RPart.en.srt
7.5 kB
08 Tree Based Models - Decision Trees/004 Classification Trees - Fitting a Decision Tree using RPart.mp4
43 MB
08 Tree Based Models - Decision Trees/005 Classification Trees - Adding more Thresholds and Visualizing Classification.en.srt
8.0 kB
08 Tree Based Models - Decision Trees/005 Classification Trees - Adding more Thresholds and Visualizing Classification.mp4
45 MB
08 Tree Based Models - Decision Trees/006 Classification Trees - Tweaking Hyperparameters and Checking Accuracy.en.srt
6.1 kB
08 Tree Based Models - Decision Trees/006 Classification Trees - Tweaking Hyperparameters and Checking Accuracy.mp4
36 MB
08 Tree Based Models - Decision Trees/007 Regression Trees - Intuition.en.srt
16 kB
08 Tree Based Models - Decision Trees/007 Regression Trees - Intuition.mp4
85 MB
08 Tree Based Models - Decision Trees/008 Regression Trees - Calculating Residual Sum of Squares.en.srt
6.3 kB
08 Tree Based Models - Decision Trees/008 Regression Trees - Calculating Residual Sum of Squares.mp4
38 MB
08 Tree Based Models - Decision Trees/009 Regression Trees - Finding the Best Split with Residual Sum of Squares.en.srt
7.9 kB
08 Tree Based Models - Decision Trees/009 Regression Trees - Finding the Best Split with Residual Sum of Squares.mp4
55 MB
08 Tree Based Models - Decision Trees/010 Regression Trees - Fitting the Algorithm.en.srt
8.5 kB
08 Tree Based Models - Decision Trees/010 Regression Trees - Fitting the Algorithm.mp4
52 MB
08 Tree Based Models - Decision Trees/011 Regression Trees - Comparing between Tree and Linear Model.en.srt
18 kB
08 Tree Based Models - Decision Trees/011 Regression Trees - Comparing between Tree and Linear Model.mp4
120 MB
09 Tree Based Models - Random Forests/001 Random Forest Intuition and Subsetting Data.en.srt
10 kB
09 Tree Based Models - Random Forests/001 Random Forest Intuition and Subsetting Data.mp4
49 MB
09 Tree Based Models - Random Forests/002 Fitting Different Decision Trees.en.srt
13 kB
09 Tree Based Models - Random Forests/002 Fitting Different Decision Trees.mp4
86 MB
09 Tree Based Models - Random Forests/003 Building a Random Forest from Scratch with Three Estimators.en.srt
11 kB
09 Tree Based Models - Random Forests/003 Building a Random Forest from Scratch with Three Estimators.mp4
74 MB
09 Tree Based Models - Random Forests/004 Measuring the Accuracy of Each Trees and of the Ensemble Average.en.srt
4.7 kB
09 Tree Based Models - Random Forests/004 Measuring the Accuracy of Each Trees and of the Ensemble Average.mp4
36 MB
09 Tree Based Models - Random Forests/005 Random Forest - R Package Implementation.en.srt
8.4 kB
09 Tree Based Models - Random Forests/005 Random Forest - R Package Implementation.mp4
48 MB
10 Data Science Project - Kaggle Taxi Trip Duration/001 Data Science Project - Taxi Trip Duration Project - Introduction.en.srt
5.6 kB
10 Data Science Project - Kaggle Taxi Trip Duration/001 Data Science Project - Taxi Trip Duration Project - Introduction.mp4
21 MB
10 Data Science Project - Kaggle Taxi Trip Duration/002 Exploratory Data Analysis - Loading Taxi Trip and Analyzing Outliers.en.srt
12 kB
10 Data Science Project - Kaggle Taxi Trip Duration/002 Exploratory Data Analysis - Loading Taxi Trip and Analyzing Outliers.mp4
69 MB
10 Data Science Project - Kaggle Taxi Trip Duration/003 Exploratory Data Analysis - Removing Outliers.en.srt
16 kB
10 Data Science Project - Kaggle Taxi Trip Duration/003 Exploratory Data Analysis - Removing Outliers.mp4
106 MB
10 Data Science Project - Kaggle Taxi Trip Duration/004 Feature Engineering - Time Based Features.en.srt
16 kB
10 Data Science Project - Kaggle Taxi Trip Duration/004 Feature Engineering - Time Based Features.mp4
89 MB
10 Data Science Project - Kaggle Taxi Trip Duration/005 Feature Engineering - Visualizing Trip Duration per Feature.en.srt
8.7 kB
10 Data Science Project - Kaggle Taxi Trip Duration/005 Feature Engineering - Visualizing Trip Duration per Feature.mp4
62 MB
10 Data Science Project - Kaggle Taxi Trip Duration/006 Feature Engineering - Building Location Based Features (Manhattan and Euclidean).en.srt
13 kB
10 Data Science Project - Kaggle Taxi Trip Duration/006 Feature Engineering - Building Location Based Features (Manhattan and Euclidean).mp4
89 MB
10 Data Science Project - Kaggle Taxi Trip Duration/007 Feature Engineering - Visualizing Correlation and Adding Features to our table.en.srt
16 kB
10 Data Science Project - Kaggle Taxi Trip Duration/007 Feature Engineering - Visualizing Correlation and Adding Features to our table.mp4
111 MB
10 Data Science Project - Kaggle Taxi Trip Duration/008 Feature Engineering - Creating Weekday feature and Building Data Pipeline.en.srt
17 kB
10 Data Science Project - Kaggle Taxi Trip Duration/008 Feature Engineering - Creating Weekday feature and Building Data Pipeline.mp4
108 MB
10 Data Science Project - Kaggle Taxi Trip Duration/009 Modelling - Preparing Data for Modelling.en.srt
14 kB
10 Data Science Project - Kaggle Taxi Trip Duration/009 Modelling - Preparing Data for Modelling.mp4
89 MB
10 Data Science Project - Kaggle Taxi Trip Duration/010 Modelling - Fitting Linear Regression.en.srt
10 kB
10 Data Science Project - Kaggle Taxi Trip Duration/010 Modelling - Fitting Linear Regression.mp4
69 MB
10 Data Science Project - Kaggle Taxi Trip Duration/011 Modelling - Training a Random Forest.en.srt
18 kB
10 Data Science Project - Kaggle Taxi Trip Duration/011 Modelling - Training a Random Forest.mp4
113 MB
10 Data Science Project - Kaggle Taxi Trip Duration/012 Modelling - Caret Implementation and API.en.srt
9.2 kB
10 Data Science Project - Kaggle Taxi Trip Duration/012 Modelling - Caret Implementation and API.mp4
60 MB
10 Data Science Project - Kaggle Taxi Trip Duration/013 Modelling - Building Custom Experiments _ Hyperparameter Tuning.en.srt
8.0 kB
10 Data Science Project - Kaggle Taxi Trip Duration/013 Modelling - Building Custom Experiments _ Hyperparameter Tuning.mp4
57 MB
10 Data Science Project - Kaggle Taxi Trip Duration/014 Modelling - Evaluating Best Model.en.srt
6.7 kB
10 Data Science Project - Kaggle Taxi Trip Duration/014 Modelling - Evaluating Best Model.mp4
49 MB
10 Data Science Project - Kaggle Taxi Trip Duration/015 Evaluating - Preparing New Data for Scoring.en.srt
24 kB
10 Data Science Project - Kaggle Taxi Trip Duration/015 Evaluating - Preparing New Data for Scoring.mp4
142 MB
10 Data Science Project - Kaggle Taxi Trip Duration/016 Evaluating - Scoring New Data and Submitting do Kaggle.en.srt
9.8 kB
10 Data Science Project - Kaggle Taxi Trip Duration/016 Evaluating - Scoring New Data and Submitting do Kaggle.mp4
62 MB
10 Data Science Project - Kaggle Taxi Trip Duration/GetFreeCourses.Co.url
116 B
10 Data Science Project - Kaggle Taxi Trip Duration/How you can help GetFreeCourses.Co.txt
182 B
11 Thank you!/001 Bonus Lecture - Other Courses.html
1.7 kB
11 Thank you!/002 Detailed Feedback.html
1.2 kB
11 Thank you!/003 Final Notes.en.srt
1.9 kB
11 Thank you!/003 Final Notes.mp4
14 MB
Download Paid Udemy Courses For Free.url
116 B
GetFreeCourses.Co.url
116 B
How you can help GetFreeCourses.Co.txt
182 B