Fundamentals Of Machine Learning With Python

[mitsumi]

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.

Spotle

Spotle is an AI-powered career platform where you are automatically matched with the relevant opportunities and skills for the advancement of your career. Targeted at the highly mobile millennial and Gen-Z population, Spotle provides a dynamic and agile platform to discover career choices matched to your life goals.

Spotle as a company brings together a solid pool of machine learning, data science experts; The experts who have built the very complex Spotle Recommendation Engine that runs at the core of Spotle platform to match you to your most relevant career choices; The experts who are passionate about machine learning, data science; The experts who are keen on sharing their knowledge for the advancement of this field.

Spotle courses give you a unique opportunity to learn from and practice with the masters of this field.

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