Udemy - Machine Learning With Python - Complete Course and Projec...

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Pandas
• 1 - Pandas part 1 English.vtt (7.8 KB)
• 1 - Pandas part 1.mp4 (63.3 MB)
• 2 - Pandas part 2 English.vtt (8.5 KB)
• 2 - Pandas part 2.mp4 (93.6 MB)
• 3 - Pandas Coding 1 English.vtt (1.5 KB)
• 3 - Pandas Coding 1.mp4 (7.5 MB)
• 4 - Pandas Coding 2 English.vtt (1.5 KB)
• 4 - Pandas Coding 2.mp4 (8.9 MB)
10 - Lets apply what we learned Machine Learning Project Classification
• 42 - Data Set.html (0.1 KB)
• 43 - Data Analysis English.vtt (3.4 KB)
• 43 - Data Analysis.mp4 (24.4 MB)
• 44 - Data Analysis II Feature Engineering English.vtt (3.6 KB)
• 44 - Data Analysis II Feature Engineering.mp4 (28.0 MB)
• 45 - Machine Learning English.vtt (6.5 KB)
• 45 - Machine Learning.mp4 (144.3 MB)
• CourseData.csv (3.1 MB)
11 - Lets apply what we learned Machine Learning Project Regression
• 46 - Data Set.html (0.1 KB)
• 47 - Data Analysis English.vtt (8.1 KB)
• 47 - Data Analysis.mp4 (123.2 MB)
• 48 - Feature Engineering English.vtt (2.4 KB)
• 48 - Feature Engineering.mp4 (13.4 MB)
• 49 - Machine Learning English.vtt (6.1 KB)
• 49 - Machine Learning.mp4 (116.1 MB)
• Real estate.csv (21.5 KB)
12 - Bonus Section
• 50 - bonus lecture.html (1.2 KB)
2 - Numpy
• 5 - Numpy Introduction to Arrays English.vtt (3.0 KB)
• 5 - Numpy Introduction to Arrays.mp4 (12.7 MB)
• 6 - Array Indexing English.vtt (2.5 KB)
• 6 - Array Indexing.mp4 (8.8 MB)
• 7 - Array Slicing and Array Iterating English.vtt (4.6 KB)
• 7 - Array Slicing and Array Iterating.mp4 (17.6 MB)
3 - Feature Engineering
• 10 - Label Encoding English.vtt (1.6 KB)
• 10 - Label Encoding.mp4 (9.0 MB)
• 11 - One Hot Encoding English.vtt (1.5 KB)
• 11 - One Hot Encoding.mp4 (13.1 MB)
• 12 - Outlier Detection English.vtt (3.0 KB)
• 12 - Outlier Detection.mp4 (26.0 MB)
• 8 - Feature Scaling English.vtt (2.1 KB)
• 8 - Feature Scaling.mp4 (11.9 MB)
• 9 - Feature Scaling in Python English.vtt (2.4 KB)
• 9 - Feature Scaling in Python.mp4 (24.2 MB)
4 - Evaluation of the Model Performances
• 13 - TrainTest Split English.vtt (2.5 KB)
• 13 - TrainTest Split.mp4 (10.0 MB)
• 14 - MSE RMSE English.vtt (2.1 KB)
• 14 - MSE RMSE.mp4 (10.5 MB)
• 15 - Confusion Matrix Accuracy Score English.vtt (2.7 KB)
• 15 - Confusion Matrix Accuracy Score.mp4 (11.0 MB)
5 - Machine Learning Supervised vs Unsupervised
• 16 - Supervised vs Unsupervised Machine Learning English.vtt (1.6 KB)
• 16 - Supervised vs Unsupervised Machine Learning.mp4 (8.2 MB)
6 - Data Set Analysis Feature Engineering for Regression Tasks
• 17 - Data Set.html (0.1 KB)
• 18 - EDA English.vtt (3.6 KB)
• 18 - EDA.mp4 (30.9 MB)
• 19 - Feature Engineering English.vtt (4.0 KB)
• 19 - Feature Engineering.mp4 (34.4 MB)
• Stores.csv (22.0 KB)
7 - Data Set Analysis Feature Engineering for Classification Tasks
• 20 - Data Set.html (0.1 KB)
• 21 - EDA English.vtt (3.2 KB)
• 21 - EDA.mp4 (26.1 MB)
• 22 - Feature Engineering English.vtt (2.5 KB)
• 22 - Feature Engineering.mp4 (17.8 MB)
• car_data.csv (21.7 KB)
8 - Supervised Learning
• 23 - Linear Regression English.vtt (1.6 KB)
• 23 - Linear Regression.mp4 (9.0 MB)
• 24 - Linear Regression 2 English.vtt (2.6 KB)
• 24 - Linear Regression 2.mp4 (8.4 MB)
• 25 - Linear Regression 3 English.vtt (1.3 KB)
• 25 - Linear Regression 3.mp4 (4.2 MB)
• 26 - Linear Regression Coding English.vtt (4.0 KB)
• 26 - Linear Regression Coding.mp4 (33.1 MB)
• 27 - Logistic Regression English.vtt (1.3 KB)
• 27 - Logistic Regression.mp4 (5.4 MB)
• 28 - Logistic Regression Coding English.vtt (4.6 KB)
• 28 - Logistic Regression Coding.mp4 (27.6 MB)
• 29 - K Nearest Neighbors English.vtt (2.3 KB)
• 29 - K Nearest Neighbors.mp4 (9.6 MB)
• 30 - KNearest Neighbors Coding Elbow Method English.vtt (5.2 KB)
• 30 - KNearest Neighbors Coding Elbow Method.mp4 (45.9 MB)
• 31 - KNearest Neighbors Coding English.vtt (2.6 KB)
• 31 - KNearest Neighbors Coding.mp4 (33.2 MB)
• 32 - Support Vector Machines English.vtt (1.5 KB)
• 32 - Support Vector Machines.mp4 (8.0 MB)
• 33 - Support Vector Classifier Coding English.vtt (3.3 KB)
• 33 - Support Vector Classifier Coding.mp4 (45.3 MB)
• 34 - Support Vector Regression Coding English.vtt (5.4 KB)
• 34 - Support Vector Regression Coding.mp4 (52.8 MB)
• 35 - Decision Tree English.vtt (1.2 KB)
• 35 - Decision Tree.mp4 (5.1 MB)
• 36 - Decision Tree Coding English.vtt (2.6 KB)
• 36 - Decision Tree Coding.mp4 (14.7 MB)
• 37 - Random Forest English.vtt (1.1 KB)
• 37 - Random Forest.mp4 (5.8 MB)
• 38 - Random Forest Regression Coding English.vtt (4.9 KB)
• 38 - Random Forest Regression Coding.mp4 (43.5 MB)
• 39 - Random Forest Classification Coding English.vtt (2.6 KB)
• 39 - Random Forest Classification Coding.mp4 (56.0 MB)
9 - Unsupervised Learning
• 40 - Kmeans Clustering English.vtt (2.3 KB)
• 40 - Kmeans Clustering.mp4 (9.8 MB)
• 41 - Kmeans Clustering Coding English.vtt (3.3 KB)
• 41 - Kmeans Clustering Coding.mp4 (14.9 MB)
• Bonus Resources.txt (0.1 KB)