Download Udemy - Machine Learning A-Z with Python with Project (Beginner) torrent

Udemy - Machine Learning A-Z with Python with Project (Beginner)

Torrent:	Udemy - Machine Learning A-Z with Python with Project (Beginner)
Description:	Machine Learning A-Z with Python with Project (Beginner) https://CourseBoat.com MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning \| Language: English + srt \| Duration: 33 lectures (13h 11m) \| Size: 3.9 GB Complete Machine Learning Course with Python for beginners What you'll learn: Master Machine Learning on Python Make powerful analysis Make accurate predictions Make robust Machine Learning models Use Machine Learning for personal purpose Build an army of powerful Machine Learning models and know how to combine them to solve any problem Classify data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA Clean your input data to remove outliers Requirements No prior experience needed, you will learn what is needed. (A basic python knowledge will definetly increase your chances of learning fast)) Description Machine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insights from massive data sets, this data science course will give you the fundamentals you need. Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That's just the average! And it's not just about money - it's interesting work too! If you've got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry - and prepare you for a move into this hot career path.
Downloads:	56
Category:	Other /Tutorials
Size:	5.2 GB
Show Files »	[ CourseBoat.com ] Udemy - Machine Learning A-Z with Python with Project (Beginner) Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Foundation 1. Introduction.mp4 (7.8 MB) 1. Introduction.srt (3.0 KB) 10. Our Project (Recomendation System) 1. PCA.mp4 (157.9 MB) 1. PCA.srt (37.1 KB) 2. Recommendations System.mp4 (283.8 MB) 2. Recommendations System.srt (53.2 KB) 2. Introduction to Machine Learning 1. Introduction to Machine Learning.mp4 (87.3 MB) 1. Introduction to Machine Learning.srt (13.5 KB) 3. Applied Statistics 1. Statistics 101.mp4 (59.1 MB) 1. Statistics 101.srt (12.8 KB) 2. Descriptive Statistics.mp4 (32.1 MB) 2. Descriptive Statistics.srt (7.6 KB) 3. Descriptive Statistics (Part-2).mp4 (73.1 MB) 3. Descriptive Statistics (Part-2).srt (17.6 KB) 4. Measures of Spread.mp4 (60.8 MB) 4. Measures of Spread.srt (13.7 KB) 5. Probability.mp4 (61.3 MB) 5. Probability.srt (15.7 KB) 6. Conditional Probability.mp4 (34.5 MB) 6. Conditional Probability.srt (7.1 KB) 7. Probability Distribution.mp4 (95.0 MB) 7. Probability Distribution.srt (17.4 KB) 8. Hypothesis Testing.mp4 (107.4 MB) 8. Hypothesis Testing.srt (19.3 KB) 4. ntroduction to Python 1. Python Installation.mp4 (79.5 MB) 1. Python Installation.srt (12.1 KB) 2. Python IDE.mp4 (47.1 MB) 2. Python IDE.srt (16.2 KB) 3. Python_Basics.mp4 (190.9 MB) 3. Python_Basics.srt (40.9 KB) 4. Python Basics II.mp4 (219.0 MB) 4. Python Basics II.srt (52.2 KB) 5. Data Structures.mp4 (380.4 MB) 5. Data Structures.srt (68.3 KB) 6. Numpy.mp4 (324.7 MB) 6. Numpy.srt (69.9 KB) 7. Pandas.mp4 (344.0 MB) 7. Pandas.srt (66.0 KB) 8. Data Visualisation.mp4 (356.1 MB) 8. Data Visualisation.srt (61.6 KB) 9. Data Transformation.mp4 (120.6 MB) 9. Data Transformation.srt (26.1 KB) 5. Let's dig Machine Learning 1. Machine Learning Intro.mp4 (119.0 MB) 1. Machine Learning Intro.srt (21.8 KB) 6. Regression 1. Linear Regression.mp4 (449.5 MB) 1. Linear Regression.srt (78.0 KB) 7. Classification 1. Logistic Regression.mp4 (321.5 MB) 1. Logistic Regression.srt (55.8 KB) 2. KNN.mp4 (285.9 MB) 2. KNN.srt (51.1 KB) 3. Naïve Bayes.mp4 (86.2 MB) 3. Naïve Bayes.srt (18.7 KB) 4. SVM.mp4 (64.7 MB) 4. SVM.srt (11.6 KB) 5. Decision Tree.mp4 (217.0 MB) 5. Decision Tree.srt (34.7 KB) 8. Clustering 1. K-means.mp4 (137.5 MB) 1. K-means.srt (23.3 KB) 2. Hierarchical Clustering.mp4 (65.2 MB) 2. Hierarchical Clustering.srt (10.9 KB) 3. DBScan.mp4 (84.4 MB) 3. DBScan.srt (14.7 KB) 9. Ensemble ML 1. Bagging.mp4 (156.5 MB) 1. Bagging.srt (30.0 KB) 2. Boosting.mp4 (165.6 MB) 2. Boosting.srt (21.7 KB) Bonus Resources.txt (0.3 KB) files
Added:	2021-11-17 10:04:15
Language:	English
Peers:	Seeders : 12 , Leechers : 5
Tags:	Development Data Science Udemy
Release name:	Udemy - Machine Learning A-Z with Python with Project (Beginner)
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