Udemy - Machine Learning Foundation With Practical Approaches

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Introduction
• 1 - Introduction.pptx (3.7 MB)
• 1 - ML-Course-2023.odp (602.7 KB)
• 1 - MLIntroduction.mp4 (408.7 MB)
• 2 - Setup our Environment.mp4 (37.2 MB)
ML-Course-Notebooks Section 2 Statistics and mathematics Basic Statistics
• Basic stats.ipynb (483.5 KB)
• cars_data.csv (80.4 KB)
Mathematics
• Mathematics.ipynb (13.1 KB)
Section 3 Processing Data Proprocessing
• Data Preprocessing.ipynb (293.7 KB)
• loans-data.csv (22.8 KB)
Feature Engineering
• feature_engineering.ipynb (75.6 KB)
• iris.csv (3.8 KB)
Section 4 Regression Algorithm discussion
• Regression Algorithm.ipynb (138.4 KB)
• housing-price.csv (142.4 KB)
Evaluation
• Evaluation.ipynb (52.2 KB)
• housing-price-clean.csv (227.3 KB)
Section 5 Classification Algorithm discussion
• Algorithm Analysis.ipynb (596.0 KB)
Evaluation
• Evaluation.ipynb (30.0 KB)
Section 6 Unsupervised Learning Algorithm discussion
• Algorithm-Unsupervised.ipynb (406.1 KB)
• Mall_Customers.csv (4.2 KB)
Section 7 Time series modelling Algorithm discussion
• Time series.ipynb (733.0 KB)
• international-airline-passengers.csv (2.0 KB)
Section 8 Ensemble Learning Algorithm discussion
• Ensemble Learning.ipynb (4.6 KB)
• requirements.txt (0.2 KB)
2 - Statistics and mathematics
• 3 - Introduction.mp4 (13.1 MB)
• 3 - Statistics-and-maths-introduction.pptx (738.8 KB)
• 4 - Basic-Statistics.pptx (1.5 MB)
• 4 - Statistics Concepts.mp4 (244.7 MB)
• 5 - Statistics hands on.mp4 (252.4 MB)
• 6 - Mathematics Concepts in ML.mp4 (99.1 MB)
• 6 - Mathematics.pptx (796.8 KB)
• 7 - Mathematics Hands on Demo.mp4 (77.3 MB)
3 - Data Preprocessing
• 8 - Data Preprocessing Concepts.mp4 (58.8 MB)
• 8 - Data-Preprocessing.pptx (1.5 MB)
• 9 - Data Preprocessing Hand on.mp4 (283.3 MB)
4 - Feature Engineering
• 10 - Feature Engineering Concepts.mp4 (91.4 MB)
• 10 - Feature-engineering.pptx (902.6 KB)
• 11 - Feature Engineering Hands on.mp4 (94.5 MB)
5 - Regression
• 12 - Introduction.mp4 (47.7 MB)
• 12 - Introduction.pptx (614.5 KB)
• 13 - Algorithm Discussions Concepts.mp4 (52.4 MB)
• 13 - Algorithm-Discussion.pptx (844.1 KB)
• 14 - Algorithm Discussions Hands On.mp4 (239.8 MB)
• 15 - Regression Evaluation Technique concepts.mp4 (49.2 MB)
• 15 - Regression-Evaluation.pptx (611.1 KB)
• 16 - Regression Evaluation Technique Hands On.mp4 (162.4 MB)
6 - Classification Algorithms
• 17 - Introduction.mp4 (32.0 MB)
• 17 - Introduction.pptx (740.9 KB)
• 18 - Algorithm discussion Concepts.mp4 (208.5 MB)
• 18 - Algorithm-discussion.pptx (950.6 KB)
• 19 - Algorithm Discussion Hands on.mp4 (355.4 MB)
• 20 - Algorithm-discussion.pptx (950.6 KB)
• 20 - Classification Evaluation Technique Concepts.mp4 (81.3 MB)
• 21 - Classification Evaluation Technique Hands on.mp4 (141.7 MB)
7 - Unsupervised Learning
• 22 - Introduction.mp4 (26.4 MB)
• 22 - Introduction.pptx (924.1 KB)
• 23 - Algorithm Discussion Concepts.mp4 (47.7 MB)
• 23 - Algorithm-discussion.pptx (661.5 KB)
• 24 - Algorithm Discussion Hands on.mp4 (321.2 MB)
8 - Time series Modelling concepts
• 25 - Introduction.mp4 (12.3 MB)
• 25 - Introduction.pptx (676.9 KB)
• 26 - Algorithm Discussion Concepts.mp4 (52.8 MB)
• 26 - Algorithm-Discussion.pptx (667.0 KB)
• 27 - Algorithm Discussion Hands on.mp4 (266.0 MB)
9 - Ensemble Learning
• 28 - Introduction.mp4 (62.3 MB)
• 28 - Introduction.pptx (909.9 KB)
• 29 - Algorithm Discussions and Concepts.mp4 (98.6 MB)
• 29 - Algorithm-discussion.pptx (767.8 KB)
• 30 - Algorithm Discussion hands on.mp4 (97.6 MB)
• Bonus Resources.txt (0.4 KB)