Description
Complete Machine Learning and Data Science with Python | AZ is a zero to hundred machine learning and data science course in the Python programming language, published by Udemy Academy. Python is a high-level general-purpose language used in various fields such as artificial intelligence, machine learning, data analysis, etc. Many libraries such as Scikit, NumPy, Pandas, Matplotlib and Seaborn have been developed based on the Python programming language, each of which is used in various fields such as data analysis and illustration. Machine learning is an emerging and revolutionary technology that we have seen simple and practical examples of in auto-correction, predictive text and speech recognition capabilities. This technology is growing day by day and has opened up to various industries and platforms such as computer games, digital marketing, programming, etc.
Intelligent virtual assistants such as Alexa and Siri use machine learning algorithms and mathematical models in Amazon and Apple products. It is predicted that by 2026, there will be around 11.5 million job vacancies in the field of data science and machine learning, which promises a bright future for these modern technologies. Machine learning systems are a set of intelligent and decision-making systems that practice a specific mathematical model based on real data and can then make new decisions and effective predictions. For example, to create a facial recognition system, at first we input a large number of images and faces into the model and enter the desired information. After reviewing the information, the system quickly detects patterns between the information and can make decisions in the future and in new situations fully automatically.
What you will learn in the Complete Machine Learning & Data Science with Python course | AZ
- Machine learning systems, their applications and advantages
- Vocabulary specialized in machine learning and data science
- Measurement and evaluation criteria and models
- Statistical classification and regression analysis
- Development of Python-based machine learning systems
- Supervised teaching
- Cross-validation method
- Bias-variance trade-off
- Illustration and display of data in the form of graphical models with the Matplotlib and seaborn libraries
- Machine learning with SciKit
- Linear regression theory
- Logistic regression theory
- K Nearest neighbors algorithm
- Decision trees
- Random forest algorithm
- Support vector machine algorithm
- K stands for clustering algorithm
- Hierarchical clustering algorithm
- Principal component analysis
- Recommendation system
- Python programming language syntax
- Other applications of the Python programming language
Course Specifications
Editor: Udemy
Instructors: Oak Academy
French language
Level: Introductory to Advanced
Number of lessons: 46
Duration: 8 hours and 43 minutes
Course themes 2021/11
Complete Machine Learning and Data Science with Python | AZ Prerequisites
Basic knowledge of the Python programming language
Be able to use and install software on a computer
Free software and tools used during the Machine Learning AZ course
Determination to learn machine learning and patience.
Motivation to learn program language related to second highest number of job offers among all others
Data visualization libraries in python such as seaborn, matplotlib
Curiosity for Python machine learning
Desire to learn Python
Desire to work on Python machine learning
Desire to learn matplotlib
Desire to learn pandas
Desire to learn numpy
Desire to work on Seaborn
Desire to learn az machine learning, complete machine learning
Pictures
Complete Machine Learning and Data Science with Python | AZ presentation video
installation guide
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english subtitles
Quality: 720p
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size
2.84 GB