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TORRENT DETAILS
[UdemyCourseDownloader] A Beginner's Guide To Machine Learning (in Python)
TORRENT SUMMARY
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In this course, you will learn the basics of Machine Learning and Data Mining; almost everything you need to get started. You will understand what Big Data is and what Data Science and Data Analytics is. You will learn algorithms such as Linear Regression, Logistic Regression, Support Vector Machine, K-Nearest Neighbor, Decision Trees, and Neural Networks. You'll also understand how to combine algorithms into ensembles. Preprocessing data will be taught and you will understand how to clean your data, transform it, how to handle categorical features, and how to handle unbalanced data. By the end of this course, you will understand the ABCs of Data Mining and be able to implement what you've learnt on your own, more specifically, be able to implement what you've learnt on Python. There is no ideal student as there are no prior requirements needed - everybody is welcome!!
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FILE LIST
Filename
Size
01 - Introduction and Course Scope - A Beginner's Guide to Machine Learning (in Python).mp4
12.7 MB
02 - Big Data - A Beginner's Guide to Machine Learning (in Python).mp4
20.5 MB
03 - Data Science - A Beginner's Guide to Machine Learning (in Python).mp4
4.9 MB
04 - Data Analytics - A Beginner's Guide to Machine Learning (in Python).mp4
23.6 MB
05 - Machine Learning and Data Mining - A Beginner's Guide to Machine Learning (in Python).mp4
47 MB
06 - Machine Learning in This Course - A Beginner's Guide to Machine Learning (in Python).mp4
7.3 MB
07 - Exploratory Data Analysis - A Beginner's Guide to Machine Learning (in Python).mp4
48.2 MB
08 - Introduction to Python - A Beginner's Guide to Machine Learning (in Python).mp4
27.2 MB
09 - Descriptive Statistics in Python - A Beginner's Guide to Machine Learning (in Python).mp4
61.6 MB
10 - Dataset Resources - A Beginner's Guide to Machine Learning (in Python).mp4
40.4 MB
11 - Linear Regression - A Beginner's Guide to Machine Learning (in Python).mp4
14 MB
12 - Support Vector Machine - A Beginner's Guide to Machine Learning (in Python).mp4
7.9 MB
13 - Support Vector Machine in Python - A Beginner's Guide to Machine Learning (in Python).mp4
40 MB
14 - K-Nearest Neighbor - A Beginner's Guide to Machine Learning (in Python).mp4
7 MB
15 - K-Nearest Neighbor in Python - A Beginner's Guide to Machine Learning (in Python).mp4
12.8 MB
16 - Decision Trees - A Beginner's Guide to Machine Learning (in Python).mp4
9.8 MB
17 - Decision Trees in Python - A Beginner's Guide to Machine Learning (in Python).mp4
11.6 MB
18 - Logistic Regression - A Beginner's Guide to Machine Learning (in Python).mp4
11.8 MB
19 - Neural Networks - A Beginner's Guide to Machine Learning (in Python).mp4
38.4 MB
20 - Neural Networks in Python - A Beginner's Guide to Machine Learning (in Python).mp4
7.9 MB
21 - Ensemble Learning - A Beginner's Guide to Machine Learning (in Python).mp4
11.1 MB
22 - Ensemble Learning in Python - A Beginner's Guide to Machine Learning (in Python).mp4
66 MB
23 - Regression Problem in Python - A Beginner's Guide to Machine Learning (in Python).mp4
77.4 MB
24 - Performance Metrics - A Beginner's Guide to Machine Learning (in Python).mp4
29.8 MB
25 - Overfitting vs Underfitting - A Beginner's Guide to Machine Learning (in Python).mp4
12.6 MB
26 - Data Cleaning - A Beginner's Guide to Machine Learning (in Python).mp4
10.2 MB
27 - Data Transformation - A Beginner's Guide to Machine Learning (in Python).mp4
23.2 MB
28 - Data Transformation in Python - A Beginner's Guide to Machine Learning (in Python).mp4
17.3 MB
29 - Categorical Features - A Beginner's Guide to Machine Learning (in Python).mp4
8.8 MB
30 - Unbalanced Data - A Beginner's Guide to Machine Learning (in Python).mp4
19.4 MB
31 - Validation Methods - A Beginner's Guide to Machine Learning (in Python).mp4
30.1 MB
32 - The Holdout Method and Confusion Matrix in Python - A Beginner's Guide to Machine Learning (in Python).mp4
58.3 MB
33 - The K Fold Method and Cleaning the Data in Python - A Beginner's Guide to Machine Learning (in Python).mp4
146.7 MB
34 - Classifying New Observations - A Beginner's Guide to Machine Learning (in Python).mp4
42.6 MB
35 - Feature Selection - A Beginner's Guide to Machine Learning (in Python).mp4
25.1 MB
36 - Feature Selection in Python - A Beginner's Guide to Machine Learning (in Python).mp4
88 MB
37 - Dimensionality Reduction - A Beginner's Guide to Machine Learning (in Python).mp4
20.7 MB
38 - Principle Component Analysis in Python - A Beginner's Guide to Machine Learning (in Python).mp4
54.1 MB
39 - Hyperparameter Optimization - A Beginner's Guide to Machine Learning (in Python).mp4
47 MB
40 - Grid Search #1 in Python - A Beginner's Guide to Machine Learning (in Python).mp4
45.1 MB
41 - Grid Search #2 in Python - A Beginner's Guide to Machine Learning (in Python).mp4
56.4 MB
42 - Grid Search #3 in Python - A Beginner's Guide to Machine Learning (in Python).mp4
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