Udemy - Fundamentals Of Machine Learning With Python

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.7 GB
  • Uploaded Byfreecoursewb
  • Downloads108
  • Last checkedSep. 12th '21
  • Date uploadedSep. 11th '21
  • Seeders 14
  • Leechers12

Infohash : 3D6BFE3E696D265A3CB434EDFF68C25CEF144B5A

Fundamentals Of Machine Learning With Python



Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 1.68 GB | Duration: 3h 38m
This course is designed for the people who want to learn and build careers in the field of Machine Learning.
What you'll learn
Machine learning techniques
Supervised machine learning
Unsupervised machine learning
Semi-supervised machine learning
Reinforcement learning
Linear regression with Python
Solving classification problems with discriminant analysis with a case study
Logistic regression with Python
Decision tree with Python
Solving unsupervised learning problems with cluster analysis
K-means clustering with Python
Hierarchical clustering
Application of AI in cyber security
Application of AI in FinTech

Description
Machine learning has become a key industry driver in the global job and opportunity market. In order to stay ahead in careers, machine learning is one of must have skillsets that tech professionals are acquiring as fast as possible. This course is designed by the leading academicians and industry experts to help people learn machine learning and its techniques using Python programming language with many examples and case studies.

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Files:

[ FreeCourseWeb.com ] Udemy - Fundamentals Of Machine Learning With Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction To Machine Learning
    • 1. Supervised Machine Learning.mp4 (36.8 MB)
    • 1. Supervised Machine Learning.srt (5.1 KB)
    • 2. Unsupervised Machine Learning.mp4 (43.5 MB)
    • 2. Unsupervised Machine Learning.srt (5.5 KB)
    • 3. Difference Between Supervised And Unsupervised Machine Learning.mp4 (12.6 MB)
    • 3. Difference Between Supervised And Unsupervised Machine Learning.srt (2.6 KB)
    • 4. Semi-supervised Machine Learning.mp4 (24.1 MB)
    • 4. Semi-supervised Machine Learning.srt (3.7 KB)
    • 5. Reinforcement Learning.mp4 (34.3 MB)
    • 5. Reinforcement Learning.srt (7.0 KB)
    2. Regression Analysis
    • 1. Solving Real-life Problems With Linear Regression.mp4 (315.4 MB)
    • 1. Solving Real-life Problems With Linear Regression.srt (22.1 KB)
    • 2. Linear Regression With Python.mp4 (151.5 MB)
    • 2. Linear Regression With Python.srt (13.2 KB)
    3. Classification And Discriminant Analysis
    • 1. Discriminant Analysis - Lecture 1.mp4 (101.7 MB)
    • 1. Discriminant Analysis - Lecture 1.srt (12.4 KB)
    • 2. Discriminant Analysis - Lecture 2.mp4 (57.2 MB)
    • 2. Discriminant Analysis - Lecture 2.srt (6.8 KB)
    4. Logistic Regression
    • 1. Understanding Logistic Regression.mp4 (58.9 MB)
    • 1. Understanding Logistic Regression.srt (16.9 KB)
    • 2. Logistic Regression With Python.mp4 (137.1 MB)
    • 2. Logistic Regression With Python.srt (12.9 KB)
    5. Decision Tree
    • 1. Understanding Decision Tree - Lecture 1.mp4 (46.6 MB)
    • 1. Understanding Decision Tree - Lecture 1.srt (14.4 KB)
    • 2. Understanding Decision Tree - Lecture 2.mp4 (37.3 MB)
    • 2. Understanding Decision Tree - Lecture 2.srt (13.8 KB)
    • 3. Decision Tree With Python - Lecture 1.mp4 (30.6 MB)
    • 3. Decision Tree With Python - Lecture 1.srt (3.4 KB)
    • 4. Decision Tree With Python - Lecture 2.mp4 (48.8 MB)
    • 4. Decision Tree With Python - Lecture 2.srt (5.2 KB)
    • 5. Decision Tree With Python - Lecture 3.mp4 (30.6 MB)
    • 5. Decision Tree With Python - Lecture 3.srt (3.3 KB)
    • 6. Decision Tree With Python - Lecture 4.mp4 (36.4 MB)
    • 6. Decision Tree With Python - Lecture 4.srt (3.8 KB)
    • 7. Decision Tree With Python - Lecture 5.mp4 (38.3 MB)
    • 7. Decision Tree With Python - Lecture 5.srt (4.2 KB)
    6. Unsupervised Machine Learning
    • 1. Introduction To Cluster Analysis.mp4 (32.7 MB)
    • 1. Introduction To Cluster Analysis.srt (5.6 KB)
    7. K-means Clustering
    • 1. Understanding K-means Clustering.mp4 (56.1 MB)
    • 1. Understanding K-means Clustering.srt (7.9 KB)
    • 2. K-means Clustering With Python.mp4 (74.2 MB)
    • 2. K-means Clustering With Python.srt (8.6 KB)
    8. Hierarchical Clustering
    • 1. Hierarchical Clustering - Lecture 1.mp4 (46.9 MB)
    • 1. Hierarchical Clustering - Lecture 1.srt (7.4 KB)
    • 2. Hierarchical Clustering Case Studies.mp4 (34.7 MB)
    • 2. Hierarchical Clustering Case Studies.srt (4.8 KB)
    • 3. Hierarchical Clustering - Lecture 2.mp4 (28.3 MB)
    • 3. Hierarchical Clustering - Lecture 2.srt (6.4 KB)
    9. Applications Of Artificial Intelligence
    • 1. AI In Cyber-security.mp4 (78.0 MB)
    • 1. AI In Cyber-security.srt (6.9 KB)
    • 2. AI In Fintech.mp4 (132.5 MB)
    • 2. AI In Fintech.srt (13.5 KB)
    • Bonus Resources.txt (0.3 KB)

Code:

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