Description
Complete Machine Learning & Data Science with Python | AZ is a zero-to-hundred machine learning and data science training course with Python programming language published by Udemy Academy. Python is a high-level and multi-purpose language that is used in various fields such as artificial intelligence, machine learning, data analysis, etc. Based on the Python programming language, many libraries have been developed such as Scikit, NumPy, Pandas, Matplotlib and Seaborn, each of which is used in different fields such as data analysis and visualization. Machine learning is an emerging and revolutionary technology that we have seen simple and practical examples of in Auto-Correct, predictive text and voice recognition capabilities. This technology is developing day by day and has opened its feet to various industries and platforms such as computer games, digital marketing, programming, etc.
Intelligent virtual assistants such as Alexa and Siri in Amazon and Apple products use machine learning algorithms and mathematical models. It is predicted that there will be around 11.5 million job vacancies in data science and machine learning by 2026, which promises a bright future for these modern technologies. Machine learning-based systems are a set of intelligent and decision-making systems that train and train a specific mathematical model based on real data and then can make decisions in new situations and provide effective predictions. For example, to build a face recognition system, in the first step, we enter a large number of images and faces into the data model and the desired information. After reviewing the information, the system quickly recognizes patterns among the information and can make decisions in the future and in new situations fully automatically.
What is in the Complete Machine Learning & Data Science with Python course AZ you will learn:
- Machine learning based systems and their applications and advantages
- Specialized vocabulary of machine learning and data science
- Measurement and evaluation criteria and models
- statistical classification (Classification) and regression analysis
- Development of machine learning based systems with Python
- Supervised learning
- Cross-Validation Method
- Bias-Variance Tradeoff
- Visualization and display of data in the form of graphic models with 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 Machines Algorithm
- K Means Clustering Algorithm
- Hierarchical Clustering Algorithm
- Principal Component Analysis
- Recommender System
- Python programming language syntax
- Other uses of the Python programming language
Course details
Publisher: Yudmi
teacher: Oak Academy
English language
Training level: introductory to advanced
Number of courses: 46
Training duration: 8 hours and 43 minutes
Course topics on 11/2021
Prerequisites of the Complete Machine Learning & Data Science with Python course AZ
Basic knowledge of Python Programming Language
Be Able To Operate & 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 the second largest number of job postings relative program language among all others
Data visualization libraries in python such as seaborn, matplotlib
Curiosity for machine learning python
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 machine learning az, complete machine learning
Course images
Video introducing the Complete Machine Learning & Data Science with Python course AZ
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
2.84 GB
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