GetFreeCourses.Co-Udemy-R for Data Science Your First Step as a Data Scientist
File List
- 10 Data Science Project - Kaggle Taxi Trip Duration/015 Evaluating - Preparing New Data for Scoring.mp4 141.5 MB
- 03 Installing Libraries/001 Installing Libraries.mp4 140.7 MB
- 07 Model Evaluation and Selection/004 Evaluating the Model on Unseen Data.mp4 134.3 MB
- 07 Model Evaluation and Selection/003 Example of a High Variance Model.mp4 132.2 MB
- 05 Linear Regression/009 Gradient Descent Intuition - Part 1.mp4 130.8 MB
- 01 Introduction/001 Welcome to the Course!.mp4 128.5 MB
- 07 Model Evaluation and Selection/006 Performance across Training and Test Data.mp4 127.7 MB
- 08 Tree Based Models - Decision Trees/011 Regression Trees - Comparing between Tree and Linear Model.mp4 119.7 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/011 Modelling - Training a Random Forest.mp4 112.6 MB
- 08 Tree Based Models - Decision Trees/002 Classification Trees - First Split and Gini Impurity Concept.mp4 112.5 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/007 Feature Engineering - Visualizing Correlation and Adding Features to our table.mp4 111.3 MB
- 05 Linear Regression/012 Multivariate Linear Regression.mp4 109.5 MB
- 05 Linear Regression/007 Linear Regression Evaluation.mp4 108.6 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/008 Feature Engineering - Creating Weekday feature and Building Data Pipeline.mp4 108.2 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/003 Exploratory Data Analysis - Removing Outliers.mp4 106.4 MB
- 07 Model Evaluation and Selection/007 Regression Metrics - Plotting the Residuals.mp4 104.4 MB
- 06 Classification Problems and Logistic Regression/005 Log-Loss Function Intuition.mp4 93.9 MB
- 07 Model Evaluation and Selection/010 Classification Metrics - Fitting Logistic Regression and Confusion Matrix Intro.mp4 90.3 MB
- 02 Setting up Environment - R and R Studio/002 Installing R Studio.mp4 90.0 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/004 Feature Engineering - Time Based Features.mp4 89.2 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/009 Modelling - Preparing Data for Modelling.mp4 89.2 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/006 Feature Engineering - Building Location Based Features (Manhattan and Euclidean).mp4 89.1 MB
- 07 Model Evaluation and Selection/002 Example of a High Bias Model.mp4 88.8 MB
- 09 Tree Based Models - Random Forests/002 Fitting Different Decision Trees.mp4 85.9 MB
- 08 Tree Based Models - Decision Trees/007 Regression Trees - Intuition.mp4 84.8 MB
- 05 Linear Regression/010 Gradient Descent Intuition - Part 2.mp4 84.2 MB
- 07 Model Evaluation and Selection/013 Classification Metrics - Building ROC Curve.mp4 83.0 MB
- 08 Tree Based Models - Decision Trees/003 Classification Trees - Finding the Best Split with Minimum Gini Impurity.mp4 82.8 MB
- 05 Linear Regression/008 Linear Regression Closed Form Solution.mp4 82.0 MB
- 06 Classification Problems and Logistic Regression/002 Classification Problems Intuition - Why Linear Regression is unfit.mp4 81.8 MB
- 06 Classification Problems and Logistic Regression/007 Visualizing Log-Loss in 3 Dimensions.mp4 79.7 MB
- 04 Manipulating Data with Dplyr/005 Arrange and Mutate.mp4 74.8 MB
- 06 Classification Problems and Logistic Regression/006 Gradient Descent Intuition - Classification.mp4 74.5 MB
- 02 Setting up Environment - R and R Studio/001 Installing R.mp4 74.2 MB
- 09 Tree Based Models - Random Forests/003 Building a Random Forest from Scratch with Three Estimators.mp4 73.8 MB
- 07 Model Evaluation and Selection/005 Randomized Train and Test Split.mp4 73.2 MB
- 05 Linear Regression/011 Visualizing Gradient Descent.mp4 70.9 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/010 Modelling - Fitting Linear Regression.mp4 69.4 MB
- 06 Classification Problems and Logistic Regression/004 Summary of Logistic Regression and Accuracy.mp4 69.3 MB
- 08 Tree Based Models - Decision Trees/001 Classification Trees - Problem Evaluation and Fitting a Logistic Regression.mp4 69.3 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/002 Exploratory Data Analysis - Loading Taxi Trip and Analyzing Outliers.mp4 68.8 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/005 Feature Engineering - Visualizing Trip Duration per Feature.mp4 62.5 MB
- 07 Model Evaluation and Selection/009 Regression Metrics - R-Square Breakdown and MAPE.mp4 61.9 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/016 Evaluating - Scoring New Data and Submitting do Kaggle.mp4 61.7 MB
- 04 Manipulating Data with Dplyr/009 Joining Dataframes.mp4 61.7 MB
- 07 Model Evaluation and Selection/008 Regression Metrics - MSE, MAE and RMSE.mp4 61.3 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/012 Modelling - Caret Implementation and API.mp4 60.1 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/013 Modelling - Building Custom Experiments _ Hyperparameter Tuning.mp4 56.9 MB
- 06 Classification Problems and Logistic Regression/003 Calculating Sigmoid Function and Fitting a Logistic Regression.mp4 56.3 MB
- 08 Tree Based Models - Decision Trees/009 Regression Trees - Finding the Best Split with Residual Sum of Squares.mp4 55.0 MB
- 08 Tree Based Models - Decision Trees/010 Regression Trees - Fitting the Algorithm.mp4 52.1 MB
- 04 Manipulating Data with Dplyr/002 Filter and Pipe Format.mp4 51.6 MB
- 09 Tree Based Models - Random Forests/001 Random Forest Intuition and Subsetting Data.mp4 49.3 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/014 Modelling - Evaluating Best Model.mp4 49.2 MB
- 09 Tree Based Models - Random Forests/005 Random Forest - R Package Implementation.mp4 48.2 MB
- 07 Model Evaluation and Selection/014 Classification Metrics - ROCR Package and Area Under the Curve.mp4 45.7 MB
- 08 Tree Based Models - Decision Trees/005 Classification Trees - Adding more Thresholds and Visualizing Classification.mp4 45.4 MB
- 08 Tree Based Models - Decision Trees/004 Classification Trees - Fitting a Decision Tree using RPart.mp4 43.4 MB
- 07 Model Evaluation and Selection/012 Classification Metrics - Precision, Recall and F-Score.mp4 40.7 MB
- 05 Linear Regression/006 Training our First Linear Model.mp4 40.1 MB
- 05 Linear Regression/004 Fitting a Random Line.mp4 39.6 MB
- 04 Manipulating Data with Dplyr/001 Intro to Dplyr and Tibble Data Structure.mp4 38.8 MB
- 08 Tree Based Models - Decision Trees/008 Regression Trees - Calculating Residual Sum of Squares.mp4 38.5 MB
- 04 Manipulating Data with Dplyr/006 Select and Distinct.mp4 37.0 MB
- 08 Tree Based Models - Decision Trees/006 Classification Trees - Tweaking Hyperparameters and Checking Accuracy.mp4 36.2 MB
- 09 Tree Based Models - Random Forests/004 Measuring the Accuracy of Each Trees and of the Ensemble Average.mp4 35.6 MB
- 05 Linear Regression/003 Plotting Feature (Age) and Target (Income) Variables.mp4 34.3 MB
- 05 Linear Regression/002 Loading the Data into R.mp4 33.0 MB
- 04 Manipulating Data with Dplyr/003 Glimpse and Lists as Columns.mp4 33.0 MB
- 04 Manipulating Data with Dplyr/007 Sample_N and Sample_Frac.mp4 30.4 MB
- 05 Linear Regression/005 Adjusting the Weight of our Linear Model.mp4 29.8 MB
- 04 Manipulating Data with Dplyr/008 Summarize and Group By.mp4 29.8 MB
- 07 Model Evaluation and Selection/011 Classification Metrics - TP, FP, TN, FN.mp4 27.9 MB
- 04 Manipulating Data with Dplyr/004 Function Encapsulation and Multiple Arguments.mp4 27.7 MB
- 03 Installing Libraries/002 Loading Libraries.mp4 27.1 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/001 Data Science Project - Taxi Trip Duration Project - Introduction.mp4 21.1 MB
- 11 Thank you!/003 Final Notes.mp4 13.8 MB
- 05 Linear Regression/001 Linear Regression - Introduction.mp4 12.8 MB
- 06 Classification Problems and Logistic Regression/001 Classification Problems - Introduction.mp4 10.1 MB
- 07 Model Evaluation and Selection/001 Model Evaluation and Selection - Introduction.mp4 7.8 MB
- 03 Installing Libraries/003 Let's start!.mp4 6.9 MB
- 10 Data Science Project - Kaggle Taxi Trip Duration/015 Evaluating - Preparing New Data for Scoring.en.srt 23.7 KB
- 07 Model Evaluation and Selection/006 Performance across Training and Test Data.en.srt 20.8 KB
- 05 Linear Regression/009 Gradient Descent Intuition - Part 1.en.srt 20.7 KB
- 07 Model Evaluation and Selection/004 Evaluating the Model on Unseen Data.en.srt 19.6 KB
- 06 Classification Problems and Logistic Regression/005 Log-Loss Function Intuition.en.srt 19.4 KB
- 05 Linear Regression/012 Multivariate Linear Regression.en.srt 19.4 KB
- 07 Model Evaluation and Selection/003 Example of a High Variance Model.en.srt 18.9 KB
- 10 Data Science Project - Kaggle Taxi Trip Duration/011 Modelling - Training a Random Forest.en.srt 18.4 KB
- 08 Tree Based Models - Decision Trees/002 Classification Trees - First Split and Gini Impurity Concept.en.srt 18.2 KB
- 05 Linear Regression/007 Linear Regression Evaluation.en.srt 18.0 KB
- 07 Model Evaluation and Selection/007 Regression Metrics - Plotting the Residuals.en.srt 17.9 KB
- 01 Introduction/001 Welcome to the Course!.en.srt 17.6 KB
- 08 Tree Based Models - Decision Trees/011 Regression Trees - Comparing between Tree and Linear Model.en.srt 17.6 KB
- 05 Linear Regression/008 Linear Regression Closed Form Solution.en.srt 17.4 KB
- 07 Model Evaluation and Selection/005 Randomized Train and Test Split.en.srt 16.8 KB
- 10 Data Science Project - Kaggle Taxi Trip Duration/008 Feature Engineering - Creating Weekday feature and Building Data Pipeline.en.srt 16.7 KB
- 07 Model Evaluation and Selection/010 Classification Metrics - Fitting Logistic Regression and Confusion Matrix Intro.en.srt 16.6 KB
- 10 Data Science Project - Kaggle Taxi Trip Duration/004 Feature Engineering - Time Based Features.en.srt 15.7 KB
- 06 Classification Problems and Logistic Regression/002 Classification Problems Intuition - Why Linear Regression is unfit.en.srt 15.6 KB
- 10 Data Science Project - Kaggle Taxi Trip Duration/007 Feature Engineering - Visualizing Correlation and Adding Features to our table.en.srt 15.5 KB
- 08 Tree Based Models - Decision Trees/007 Regression Trees - Intuition.en.srt 15.5 KB
- 10 Data Science Project - Kaggle Taxi Trip Duration/003 Exploratory Data Analysis - Removing Outliers.en.srt 15.5 KB
- 07 Model Evaluation and Selection/002 Example of a High Bias Model.en.srt 15.2 KB
- 07 Model Evaluation and Selection/013 Classification Metrics - Building ROC Curve.en.srt 14.3 KB
- 10 Data Science Project - Kaggle Taxi Trip Duration/009 Modelling - Preparing Data for Modelling.en.srt 14.2 KB
- 03 Installing Libraries/001 Installing Libraries.en.srt 14.0 KB
- 06 Classification Problems and Logistic Regression/007 Visualizing Log-Loss in 3 Dimensions.en.srt 13.3 KB
- 09 Tree Based Models - Random Forests/002 Fitting Different Decision Trees.en.srt 12.8 KB
- 10 Data Science Project - Kaggle Taxi Trip Duration/006 Feature Engineering - Building Location Based Features (Manhattan and Euclidean).en.srt 12.7 KB
- 05 Linear Regression/010 Gradient Descent Intuition - Part 2.en.srt 12.7 KB
- 05 Linear Regression/011 Visualizing Gradient Descent.en.srt 12.6 KB
- 08 Tree Based Models - Decision Trees/001 Classification Trees - Problem Evaluation and Fitting a Logistic Regression.en.srt 12.5 KB
- 06 Classification Problems and Logistic Regression/006 Gradient Descent Intuition - Classification.en.srt 12.5 KB
- 10 Data Science Project - Kaggle Taxi Trip Duration/002 Exploratory Data Analysis - Loading Taxi Trip and Analyzing Outliers.en.srt 12.0 KB
- 08 Tree Based Models - Decision Trees/003 Classification Trees - Finding the Best Split with Minimum Gini Impurity.en.srt 11.6 KB
- 06 Classification Problems and Logistic Regression/004 Summary of Logistic Regression and Accuracy.en.srt 11.0 KB
- 09 Tree Based Models - Random Forests/003 Building a Random Forest from Scratch with Three Estimators.en.srt 10.9 KB
- 02 Setting up Environment - R and R Studio/002 Installing R Studio.en.srt 10.8 KB
- 07 Model Evaluation and Selection/009 Regression Metrics - R-Square Breakdown and MAPE.en.srt 10.6 KB
- 09 Tree Based Models - Random Forests/001 Random Forest Intuition and Subsetting Data.en.srt 10.4 KB
- 10 Data Science Project - Kaggle Taxi Trip Duration/010 Modelling - Fitting Linear Regression.en.srt 10.3 KB
- 07 Model Evaluation and Selection/008 Regression Metrics - MSE, MAE and RMSE.en.srt 10.1 KB
- 04 Manipulating Data with Dplyr/005 Arrange and Mutate.en.srt 10.0 KB
- 06 Classification Problems and Logistic Regression/003 Calculating Sigmoid Function and Fitting a Logistic Regression.en.srt 10.0 KB
- 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/012 Modelling - Caret Implementation and API.en.srt 9.2 KB
- 07 Model Evaluation and Selection/014 Classification Metrics - ROCR Package and Area Under the Curve.en.srt 9.1 KB
- 04 Manipulating Data with Dplyr/002 Filter and Pipe Format.en.srt 9.0 KB
- 02 Setting up Environment - R and R Studio/001 Installing R.en.srt 8.9 KB
- 04 Manipulating Data with Dplyr/009 Joining Dataframes.en.srt 8.8 KB
- 10 Data Science Project - Kaggle Taxi Trip Duration/005 Feature Engineering - Visualizing Trip Duration per Feature.en.srt 8.7 KB
- 08 Tree Based Models - Decision Trees/010 Regression Trees - Fitting the Algorithm.en.srt 8.5 KB
- 09 Tree Based Models - Random Forests/005 Random Forest - R Package Implementation.en.srt 8.4 KB
- 07 Model Evaluation and Selection/012 Classification Metrics - Precision, Recall and F-Score.en.srt 8.2 KB
- 08 Tree Based Models - Decision Trees/005 Classification Trees - Adding more Thresholds and Visualizing Classification.en.srt 8.0 KB
- 10 Data Science Project - Kaggle Taxi Trip Duration/013 Modelling - Building Custom Experiments _ Hyperparameter Tuning.en.srt 8.0 KB
- 08 Tree Based Models - Decision Trees/009 Regression Trees - Finding the Best Split with Residual Sum of Squares.en.srt 7.9 KB
- 04 Manipulating Data with Dplyr/001 Intro to Dplyr and Tibble Data Structure.en.srt 7.8 KB
- 08 Tree Based Models - Decision Trees/004 Classification Trees - Fitting a Decision Tree using RPart.en.srt 7.5 KB
- 05 Linear Regression/006 Training our First Linear Model.en.srt 6.8 KB
- 10 Data Science Project - Kaggle Taxi Trip Duration/014 Modelling - Evaluating Best Model.en.srt 6.7 KB
- 05 Linear Regression/004 Fitting a Random Line.en.srt 6.7 KB
- 04 Manipulating Data with Dplyr/006 Select and Distinct.en.srt 6.3 KB
- 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/006 Classification Trees - Tweaking Hyperparameters and Checking Accuracy.en.srt 6.1 KB
- 05 Linear Regression/002 Loading the Data into R.en.srt 5.7 KB
- 05 Linear Regression/003 Plotting Feature (Age) and Target (Income) Variables.en.srt 5.6 KB
- 10 Data Science Project - Kaggle Taxi Trip Duration/001 Data Science Project - Taxi Trip Duration Project - Introduction.en.srt 5.6 KB
- 05 Linear Regression/005 Adjusting the Weight of our Linear Model.en.srt 4.9 KB
- 07 Model Evaluation and Selection/011 Classification Metrics - TP, FP, TN, FN.en.srt 4.8 KB
- 09 Tree Based Models - Random Forests/004 Measuring the Accuracy of Each Trees and of the Ensemble Average.en.srt 4.7 KB
- 04 Manipulating Data with Dplyr/003 Glimpse and Lists as Columns.en.srt 4.6 KB
- 04 Manipulating Data with Dplyr/008 Summarize and Group By.en.srt 4.4 KB
- 04 Manipulating Data with Dplyr/004 Function Encapsulation and Multiple Arguments.en.srt 4.4 KB
- 04 Manipulating Data with Dplyr/007 Sample_N and Sample_Frac.en.srt 4.2 KB
- 07 Model Evaluation and Selection/001 Model Evaluation and Selection - Introduction.en.srt 3.1 KB
- 03 Installing Libraries/002 Loading Libraries.en.srt 2.8 KB
- 06 Classification Problems and Logistic Regression/001 Classification Problems - Introduction.en.srt 2.7 KB
- 11 Thank you!/003 Final Notes.en.srt 1.9 KB
- 05 Linear Regression/001 Linear Regression - Introduction.en.srt 1.8 KB
- 11 Thank you!/001 Bonus Lecture - Other Courses.html 1.7 KB
- 01 Introduction/002 Course Materials.html 1.3 KB
- 11 Thank you!/002 Detailed Feedback.html 1.2 KB
- 04 Manipulating Data with Dplyr/010 Small Typo.html 1.1 KB
- 03 Installing Libraries/003 Let's start!.en.srt 995 bytes
- 01 Introduction/external-assets-links.txt 231 bytes
- 04 Manipulating Data with Dplyr/How you can help GetFreeCourses.Co.txt 182 bytes
- 10 Data Science Project - Kaggle Taxi Trip Duration/How you can help GetFreeCourses.Co.txt 182 bytes
- How you can help GetFreeCourses.Co.txt 182 bytes
- 02 Setting up Environment - R and R Studio/external-assets-links.txt 120 bytes
- 04 Manipulating Data with Dplyr/GetFreeCourses.Co.url 116 bytes
- 10 Data Science Project - Kaggle Taxi Trip Duration/GetFreeCourses.Co.url 116 bytes
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