FreeCourseSite com Udemy Data Science and Machine Learning Bootcamp with

FreeCourseSite com Udemy Data Science and Machine Learning Bootcamp with

Name	[FreeCourseSite.com] Udemy - Data Science and Machine Learning Bootcamp with R	DOWNLOAD Copy Link
Total Size	2.6 GB
Total Files	132
Hash	CB89DC7D5349B6A74DF8B1EB4B236ED54D7F20CE

/1. Course Introduction/
4. Course FAQ.html	1.5 KB
4.1 R-Course-HTML-Notes.zip.zip	47.8 MB
Lesson_1._Introduction_to_Course.mp4	13.0 MB
Lesson_2._Course_Curriculum.mp4	6.0 MB
Lesson_3._What_is_Data_Science_.mp4	7.4 MB
/10. R Lists/
Lesson_35._List_Basics.mp4	20.5 MB
/11. Data Input and Output with R/
Lesson_36._Introduction_to_Data_Input_and_Output_with_R.mp4	890.6 KB
Lesson_37._CSV_Files_with_R.mp4	12.8 MB
Lesson_38._Excel_Files_with_R.mp4	25.3 MB
Lesson_39._SQL_with_R.mp4	26.7 MB
Lesson_40._Web_Scraping_with_R.mp4	18.3 MB
/12. R Programming Basics/
Lesson_41._Introduction_to_Programming_Basics.mp4	1.8 MB
Lesson_42._Logical_Operators.mp4	15.2 MB
Lesson_43._if,_else,_and_else_if_Statements.mp4	27.2 MB
Lesson_44._Conditional_Statements_Training_Exercise.mp4	3.6 MB
Lesson_45._Conditional_Statements_Training_Exercise_-_Solutions_Walkthrough.mp4	22.1 MB
Lesson_46._While_Loops.mp4	12.6 MB
Lesson_47._For_Loops.mp4	24.2 MB
Lesson_48._Functions.mp4	36.8 MB
Lesson_49._Functions_Training_Exercise.mp4	7.0 MB
Lesson_50._Functions_Training_Exercise_-_Solutions.mp4	38.5 MB
/13. Advanced R Programming/
Lesson_51._Introduction_to_Advanced_R_Programming.mp4	1.7 MB
Lesson_52._Built-in_R_Features.mp4	18.9 MB
Lesson_53._Apply.mp4	29.4 MB
Lesson_54._Math_Functions_with_R.mp4	9.7 MB
Lesson_55._Regular_Expressions.mp4	10.2 MB
Lesson_56._Dates_and_Timestamps.mp4	25.2 MB
/14. Data Manipulation with R/
5. Quick note on Dpylr exercise.html	0.5 KB
Lesson_57._Data_Manipulation_Overview.mp4	1.2 MB
Lesson_58._Guide_to_Using_Dplyr.mp4	26.4 MB
Lesson_59._Guide_to_Using_Dplyr_-_Part_2.mp4	21.5 MB
Lesson_60._Pipe_Operator.mp4	14.4 MB
Lesson_61._Dplyr_Training_Exercise.mp4	2.8 MB
Lesson_62._Dplyr_Training_Exercise_-_Solutions_Walkthrough.mp4	14.5 MB
Lesson_63._Guide_to_Using_Tidyr.mp4	49.4 MB
/15. Data Visualization with R/
Lesson_64._Overview_of_ggplot2.mp4	12.6 MB
Lesson_65._Histograms.mp4	47.8 MB
Lesson_66._Scatterplots.mp4	39.4 MB
Lesson_67._Barplots.mp4	17.6 MB
Lesson_68._Boxplots.mp4	14.8 MB
Lesson_69._2_Variable_Plotting.mp4	21.4 MB
Lesson_70._Coordinates_and_Faceting.mp4	25.2 MB
Lesson_71._Themes.mp4	11.8 MB
Lesson_72._ggplot2_Exercises.mp4	7.0 MB
Lesson_73._ggplot2_Exercise_Solutions.mp4	27.3 MB
/16. Data Visualization Project/
Lesson_74._Data_Visualization_Project.mp4	12.2 MB
Lesson_75._Data_Visualization_Project_-_Solutions_Walkthrough_-_Part_1.mp4	34.2 MB
Lesson_76._Data_Visualization_Project_Solutions_Walkthrough_-_Part_2.mp4	33.7 MB
/17. Interactive Visualizations with Plotly/
2. Resources for Plotly and ggplot2.html	1.1 KB
Lesson_77._Overview_of_Plotly_and_Interactive_Visualizations.mp4	35.2 MB
/18. Capstone Data Project/
Lesson_78._Introduction_to_Capstone_Project.mp4	36.6 MB
Lesson_79._Capstone_Project_Solutions_Walkthrough.mp4	57.1 MB
/19. Introduction to Machine Learning with R/
1. ISLR PDF.html	0.6 KB
2.1 Machine Learning Slides.zip.zip	3.0 MB
Lesson_80._Introduction_to_Machine_Learning.mp4	50.9 MB
/2. Course Best Practices/
1. How to Get Help in the Course!.html	2.2 KB
2. Welcome to the Course..html	0.2 KB
3. Installation and Set-Up.html	0.5 KB
/20. Machine Learning with R - Linear Regression/
Lesson_81._Introduction_to_Linear_Regression.mp4	10.7 MB
Lesson_82._Linear_Regression_with_R_-_Part_1.mp4	49.2 MB
Lesson_83._Linear_Regression_with_R_-_Part_2.mp4	48.2 MB
Lesson_84._Linear_Regression_with_R_-_Part_3.mp4	23.9 MB
/21. Machine Learning Project - Linear Regression/
Lesson_85._Introduction_to_Linear_Regression_Project.mp4	35.3 MB
Lesson_86._ML_-_Linear_Regression_Project_-_Solutions_Part_1.mp4	50.1 MB
Lesson_87._ML_-_Linear_Regression_Project_-_Solutions_Part_2.mp4	27.3 MB
/22. Machine Learning with R - Logistic Regression/
Lesson_88._Introduction_to_Logistic_Regression.mp4	20.8 MB
Lesson_89._Logistic_Regression_with_R_-_Part_1.mp4	41.5 MB
Lesson_90._Logistic_Regression_with_R_-_Part_2.mp4	42.9 MB
/23. Machine Learning Project - Logistic Regression/
Lesson_91._Introduction_to_Logistic_Regression_Project.mp4	10.6 MB
Lesson_92._Logistic_Regression_Project_Solutions_-_Part_1.mp4	49.7 MB
Lesson_93._Logistic_Regression_Project_Solutions_-_Part_2.mp4	34.4 MB
Lesson_94._Logistic_Regression_Project_-_Solutions_Part_3.mp4	33.7 MB
/24. Machine Learning with R - K Nearest Neighbors/
Lesson_95._Introduction_to_K_Nearest_Neighbors.mp4	8.9 MB
Lesson_96._K_Nearest_Neighbors_with_R.mp4	42.4 MB
/25. Machine Learning Project - K Nearest Neighbors/
Lesson_97._Introduction_K_Nearest_Neighbors_Project.mp4	12.3 MB
Lesson_98._K_Nearest_Neighbors_Project_Solutions.mp4	26.4 MB
/26. Machine Learning with R - Decision Trees and Random Forests/
Lesson_100._Decision_Trees_and_Random_Forests_with_R.mp4	30.2 MB
Lesson_99._Introduction_to_Tree_Methods.mp4	11.8 MB
/27. Machine Learning Project - Decision Trees and Random Forests/
Lesson_101._Introduction_to_Decision_Trees_and_Random_Forests_Project.mp4	8.8 MB
Lesson_102._Tree_Methods_Project_Solutions_-_Part_1.mp4	35.0 MB
Lesson_103._Tree_Methods_Project_Solutions_-_Part_2.mp4	9.6 MB
/28. Machine Learning with R - Support Vector Machines/
Lesson_104._Introduction_to_Support_Vector_Machines.mp4	8.4 MB
Lesson_105._Support_Vector_Machines_with_R.mp4	34.6 MB
/29. Machine Learning Project - Support Vector Machines/
Lesson_106._Introduction_to_SVM_Project.mp4	9.8 MB
Lesson_107._Support_Vector_Machines_Project_-_Solutions_Part_1.mp4	25.3 MB
Lesson_108._Support_Vector_Machines_Project_-_Solutions_Part_2.mp4	22.1 MB
/3. Windows Installation Set-Up/
Lesson_4._Windows_Installation_Procedure.mp4	18.6 MB
/30. Machine Learning with R - K-means Clustering/
Lesson_109._Introduction_to_K-Means_Clustering.mp4	9.0 MB
Lesson_110._K_Means_Clustering_with_R.mp4	20.1 MB
/31. Machine Learning Project - K-means Clustering/
Lesson_111._Introduction_to_K_Means_Clustering_Project.mp4	7.6 MB
Lesson_112._K_Means_Clustering_Project_-_Solutions_Walkthrough.mp4	34.6 MB
/32. Machine Learning with R - Natural Language Processing/
Lesson_113._Introduction_to_Natural_Language_Processing.mp4	7.9 MB
Lesson_114._Natural_Language_Processing_with_R_-_Part_1.mp4	10.9 MB
Lesson_115._Natural_Language_Processing_with_R_-_Part_2.mp4	37.4 MB
/33. Machine Learning with R - Neural Nets/
Lesson_116._Introduction_to_Neural_Nets.mp4	11.8 MB
Lesson_117._Neural_Nets_with_R.mp4	48.5 MB
/34. Machine Learning Project - Neural Nets/
Lesson_118._Introduction_to_Neural_Nets_Project.mp4	8.8 MB
Lesson_119._Neural_Nets_Project_-_Solutions.mp4	21.6 MB
/35. Bonus Section - Discounts for Other Courses/
1. Bonus Lecture Coupons.html	4.1 KB
/4. Mac OS Installation Set-Up/
Lesson_5._Mac_OS_Installation_Procedure.mp4	21.9 MB
/5. Linux Installation/
1. LinuxUnbuntu Installation Procedure.html	1.7 KB
/6. Development Environment Overview/
2.1 R-Course-HTML-Notes.zip.zip	47.8 MB
Lesson_6._Development_Environment_Overview.mp4	891.2 KB
Lesson_7._Course_Notes.mp4	27.0 MB
Lesson_8._Guide_to_RStudio.mp4	29.7 MB
/7. Introduction to R Basics/
Lesson_10._Arithmetic_in_R.mp4	8.1 MB
Lesson_11._Variables.mp4	9.4 MB
Lesson_12._R_Basic_Data_Types.mp4	9.5 MB
Lesson_13._Vector_Basics.mp4	14.3 MB
Lesson_14._Vector_Operations.mp4	7.9 MB
Lesson_15._Vector_Indexing_and_Slicing.mp4	16.8 MB
Lesson_16._Getting_Help_with_R_and_RStudio.mp4	5.9 MB
Lesson_17._Comparison_Operators.mp4	11.2 MB
Lesson_18._R_Basics_Training_Exercise.mp4	5.6 MB
Lesson_19._R_Basics_Training_Exercise_-_Solutions_Walkthrough.mp4	13.4 MB
Lesson_9._Introduction_to_R_Basics.mp4	5.9 MB
/8. R Matrices/
4.1 Reference of Built-in Functions.html	0.1 KB
Lesson_20._Introduction_to_R_Matrices.mp4	1.5 MB
Lesson_21._Creating_a_Matrix.mp4	19.5 MB
Lesson_22._Matrix_Arithmetic.mp4	8.2 MB
Lesson_23._Matrix_Operations.mp4	11.3 MB
Lesson_24._Matrix_Selection_and_Indexing.mp4	12.4 MB
Lesson_25._Factor_and_Categorical_Matrices.mp4	15.6 MB
Lesson_26._Matrix_Training_Exercise.mp4	3.4 MB
Lesson_27._Matrix_Training_Exercises_-_Solutions_Walkthrough.mp4	25.8 MB
/9. R Data Frames/
Lesson_28._Introduction_to_R_Data_Frames.mp4	1.4 MB
Lesson_29._Data_Frame_Basics.mp4	19.1 MB
Lesson_30._Data_Frame_Indexing_and_Selection.mp4	17.6 MB
Lesson_31._Overview_of_Data_Frame_Operations_-_Part_1.mp4	31.9 MB
Lesson_32._Overview_of_Data_Frame_Operations_-_Part_2.mp4	35.8 MB
Lesson_33._Data_Frame_Training_Exercise.mp4	4.5 MB
Lesson_34._Data_Frame_Training_Exercises_-_Solutions_Walkthrough.mp4	30.4 MB
Total files 132