Machine Learning & Data Science with Python & Kaggle | A-Z
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Machine Learning & Data Science with Python & Kaggle | A-Z
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Machine Learning & Data Science with Python & Kaggle | A-Z
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$69.99
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Udemy.com
as of December 20, 2024 11:22 pm
Data Science & Machine Learning A-Z & Kaggle with Heart Attack Prediction projects and Machine Learning Python projects
Created by:
Oak Academy
Web & Mobile Development, IOS, Android, Ethical Hacking, IT
Web & Mobile Development, IOS, Android, Ethical Hacking, IT
Created by:
OAK Academy Team
instructor
instructor
Created by:
Ali̇ CAVDAR
DATA SCIENTIST AND IT INSTRUCTOR
DATA SCIENTIST AND IT INSTRUCTOR
Rating:4.75 (6reviews)
137students enrolled
What Will I 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
Requirements
- Basic knowledge of Python Programming Language
- Be Able To Operate & Install Software On A Computer
- Free software and tools used during the machine learning a-z course
- Determination to learn machine learning and patience.
- Motivation to learn the 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 machine learning a-z, complete machine learning
- Any device you can watch the course, such as a mobile phone, computer or tablet.
- Watching the lecture videos completely, to the end and in order.
- Nothing else! It’s just you, your computer and your ambition to get started today.
- LIFETIME ACCESS, course updates, new content, anytime, anywhere, on any device.
Target audience
- 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
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