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Genre: eLearning
Use Scikit, learn NumPy, Pandas, Matplotlib, Seaborn and dive into machine learning A-Z with Python and Data Science.
What you’ll learn
Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries.
Learn Machine Learning with Hands-On Examples
What is Machine Learning?
Machine Learning Terminology
Evaluation Metrics
What are Classification vs Regression?
Evaluating Performance-Classification Error Metrics
Evaluating Performance-Regression Error Metrics
Supervised Learning
Cross Validation and Bias Variance Trade-Off
Use matplotlib and seaborn for data visualizations
Machine Learning with SciKit Learn
Linear Regression Algorithm
Logistic Regresion Algorithm
K Nearest Neighbors Algorithm
Decision Trees And Random Forest Algorithm
Support Vector Machine Algorithm
Unsupervised Learning
K Means Clustering Algorithm
Hierarchical Clustering Algorithm
Principal Component Analysis (PCA)
Recommender System Algorithm
Python instructors on OAK Academy specialize in everything from software development to data analysis, and are known for their effective.
Python is a general-purpose, object-oriented, high-level programming language.
Python is a multi-paradigm language, which means that it supports many programming approaches. Along with procedural and functional programming styles
Python is a widely used, general-purpose programming language, but it has some limitations. Because Python is an interpreted, dynamically typed language
Python is a general programming language used widely across many industries and platforms. One common use of Python is scripting, which means automating tasks.
Python is a popular language that is used across many industries and in many programming disciplines. DevOps engineers use Python to script website.
Python has a simple syntax that makes it an excellent programming language for a beginner to learn. To learn Python on your own, you first must become familiar
Machine learning describes systems that make predictions using a model trained on real-world data.
Machine learning is being applied to virtually every field today. That includes medical diagnoses, facial recognition, weather forecasts, image processing.
It’s possible to use machine learning without coding, but building new systems generally requires code.
Python is the most used language in machine learning. Engineers writing machine learning systems often use Jupyter Notebooks and Python together.
Machine learning is generally divided between supervised machine learning and unsupervised machine learning. In supervised machine learning.
Machine learning is one of the fastest-growing and popular computer science careers today. Constantly growing and evolving.
Machine learning is a smaller subset of the broader spectrum of artificial intelligence. While artificial intelligence describes any “intelligent machine”
A machine learning engineer will need to be an extremely competent programmer with in-depth knowledge of computer science, mathematics, data science.
Python machine learning, complete machine learning, machine learning a-z
Hello there,
Welcome to the “Complete Machine Learning & Data Science with Python | A-Z” course
Use Scikit, learn NumPy, Pandas, Matplotlib, Seaborn, and dive into machine learning A-Z with Python and Data Science
Machine learning isn’t just useful for predictive texting or smartphone voice recognition Machine learning is constantly being applied to new industries and new problems Whether you’re a marketer, video game designer, or programmer, my course on OAK Academy here to help you apply machine learning to your work Complete machine learning & data science with python | a-z, machine learning a-z, Complete machine learning & data science with python, complete machine learning and data science with python a-z, machine learning using python, complete machine learning and data science, machine learning, complete machine learning, data science
It’s hard to imagine our lives without machine learning Predictive texting, email filtering, and virtual personal assistants like Amazon’s Alexa and the iPhone’s Siri, are all technologies that function based on machine learning algorithms and mathematical models Python, machine learning, django, python programming, machine learning python, python for beginners, data science
Python instructors on OAK Academy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction for students of all levels
Whether you work in machine learning or finance, or are pursuing a career in web development or data science, Python is one of the most important skills you can learn Python’s simple syntax is especially suited for desktop, web, and business applications Python’s design philosophy emphasizes readability and usability Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization The core programming language is quite small and the standard library is also large In fact, Python’s large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks
Do you know data science needs will create 11 5 million job openings by 2026?
Do you know the average salary is $100 000 for data science careers!
Data Science Careers Are Shaping The Future
Data science experts are needed in almost every field, from government security to dating apps Millions of businesses and government departments rely on big data to succeed and better serve their customers So data science careers are in high demand
If you want to learn one of the employer’s most request skills?
If you are curious about Data Science and looking to start your self-learning journey into the world of data with Python?
If you are an experienced developer and looking for a landing in Data Science!
In all cases, you are at the right place!
We’ve designed for you “Complete Machine Learning & Data Science with Python | A-Z” a straightforward course for Python Programming Language and Machine Learning
In the course, you will have down-to-earth way explanations with projects With this course, you will learn machine learning step-by-step I made it simple and easy with exercises, challenges, and lots of real-life examples
We will open the door of the Data Science and Machine Learning a-z world and will move deeper You will learn the fundamentals of Machine Learning A-Z and its beautiful libraries such as Scikit Learn
Throughout the course, we will teach you how to use Python to analyze data, create beautiful visualizations, and use powerful machine learning python algorithms
This Machine Learning course is for everyone!
My “Machine Learning with Hands-On Examples in Data Science” is for everyone! If you don’t have any previous experience, not a problem! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher)
Why we use a Python programming language in Machine learning?
Python is a general-purpose, high-level, and multi-purpose programming language The best thing about Python is, it supports a lot of today’s technology including vast libraries for Twitter, data mining, scientific calculations, designing, back-end server for websites, engineering simulations, artificial learning, augmented reality and what not! Also, it supports all kinds of App development
What you will learn?
In this course, we will start from the very beginning and go all the way to the end of “Machine Learning” with examples
Before each lesson, there will be a theory part After learning the theory parts, we will reinforce the subject with practical examples
During the course you will learn the following topics:
What is Machine Learning?
More About Machine Learning
Machine Learning Terminology
Evaluation Metrics
What is Classification vs Regression?
Evaluating Performance-Classification Error Metrics
Evaluating Performance-Regression Error Metrics
Machine Learning with Python
Supervised Learning
Cross-Validation and Bias Variance Trade-Off
Use Matplotlib and seaborn for data visualizations
Machine Learning with SciKit Learn
Linear Regression Theory
Logistic Regression Theory
Logistic Regression with Python
K Nearest Neighbors Algorithm Theory
K Nearest Neighbors Algorithm With Python
K Nearest Neighbors Algorithm Project Overview
K Nearest Neighbors Algorithm Project Solutions
Decision Trees And Random Forest Algorithm Theory
Decision Trees And Random Forest Algorithm With Python
Decision Trees And Random Forest Algorithm Project Overview
Decision Trees And Random Forest Algorithm Project Solutions
Support Vector Machines Algorithm Theory
Support Vector Machines Algorithm With Python
Support Vector Machines Algorithm Project Overview
Support Vector Machines Algorithm Project Solutions
Unsupervised Learning Overview
K Means Clustering Algorithm Theory
K Means Clustering Algorithm With Python
K Means Clustering Algorithm Project Overview
K Means Clustering Algorithm Project Solutions
Hierarchical Clustering Algorithm Theory
Hierarchical Clustering Algorithm With Python
Principal Component Analysis (PCA) Theory
Principal Component Analysis (PCA) With Python
Recommender System Algorithm Theory
Recommender System Algorithm With Python
Complete machine learning
Python machine learning
Machine learning a-z
With my up-to-date course, you will have a chance to keep yourself up-to-date and equip yourself with a range of Python programming skills I am also happy to tell you that I will be constantly available to support your learning and answer questions
Who this course is for:
Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. It is for everyone
Anyone who wants to start learning “Machine Learning”
Anyone who needs a complete guide on how to start and continue their career with machine learning
Software developer who wants to learn “Machine Learning”
Students Interested in Beginning Data Science Applications in Python Environment
People Wanting to Specialize in Anaconda Python Environment for Data Science and Scientific Computing
Students Wanting to Learn the Application of Supervised Learning (Classification) on Real Data Using Python
Anyone eager to learn python for data science and machine learning bootcamp with no coding background
Anyone interested in data sciences
Anyone who plans a career in data scientist,
Software developer whom want to learn python,
Anyone interested in machine learning a-z
People who want to become data scientist
People who want to learn machine learning a-z
Poeple who want tp learn complete machine learning
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