Description
Machine Learning & Data Science course with Python, Kaggle & Pandas. Machine learning and data science course with Python, Kaggle and Pandas. Hello, welcome to the training course “Machine Learning and Data Science with Python, Kaggle and Pandas”. AZ Machine Learning course from scratch with Python, Kaggle, Pandas and Numpy for data analysis with practical examples. Machine learning is a branch of artificial intelligence (AI) and computer science that focuses on using data and algorithms to mimic the way humans learn and gradually improve its accuracy. You can develop the basic skills needed to progress in building neural networks and creating more complex functions through the Python and R programming languages. Machine learning helps you stay ahead of new trends, technologies, and applications. Today, machine learning is applied in almost every field. This includes medical diagnostics, facial recognition, weather forecasting, image processing and more. In any situation where pattern recognition, prediction and analysis are critical, machine learning can be useful. Machine learning is often a disruptive technology when applied to new industries and niches. Machine learning engineers can find new ways to apply machine learning technology to optimize and automate existing processes. With the right data, you can use machine learning technology to identify very complex patterns and make very accurate predictions. Pandas is an open source Python package most commonly used for data science/data analysis and machine learning tasks. Pandas is built on top of another package called Numpy that supports multidimensional arrays. Pandas is a fast, powerful, flexible and easy-to-use open source data analysis and manipulation tool built on the Python programming language. Numpy is a library for the Python programming language that adds support for large, multidimensional arrays and matrices, along with a large set of high-level math functions for working on these arrays. Additionally, Numpy forms the foundation of the machine learning stack. We have “Machine Learning and Data Science with Python and Kaggle” for you. We have designed AZ” a simple course for Python programming language and machine learning. In this course, you will have simple 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 examples. You will also get to know the Kaggle platform step by step with the Heart Attack Prediction Kaggle Project. Kaggle is a platform where data scientists can compete in machine learning challenges. These challenges can be anything from predicting housing prices to identifying cancer cells. Kaggle has a huge community of data scientists who are always willing to help others with data science problems. If you are ready to learn now, enroll in the course “Machine Learning and Data Science with Python, Kaggle and Pandas”. AZ Machine Learning course from scratch with Python, Kaggle, Pandas and Numpy for data analysis with practical examples. See you in the course!
What you will learn in the Machine Learning & Data Science with Python Kaggle & Pandas course
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Machine learning isn’t just useful for texting or smartphone voice recognition. Machine learning is constantly being applied to new industries.
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Learn machine learning with practical examples
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What is machine learning?
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Machine learning terminology
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evaluation criteria
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What is classification vs regression?
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Evaluation of performance classification error criteria
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Evaluation of performance-regression error measures
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Supervised learning
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Cross-validation and trade-off bias variance
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Use matplotlib and seaborn to visualize the data
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Machine learning with SciKit Learn
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Linear regression algorithm
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Logistic regression algorithm
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K nearest neighbors algorithm
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Decision trees and random forest algorithm
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Support vector machine algorithm
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Unsupervised learning
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K stands for clustering algorithm
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Hierarchical clustering algorithm
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Principal Component Analysis (PCA)
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Recommender system algorithm
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The Python instructors at OAK Academy specialize in everything from software development to data analysis and are known for their effectiveness.
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Python is a general-purpose, object-oriented, high-level programming language.
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Python is a multi-paradigm language, meaning it supports many programming approaches. Along with procedural and functional programming styles
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Python is a general purpose and widely used programming language, but it has limitations. Because Python is an interpreted and dynamic language
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Python is a general purpose programming language that is widely used in many industries and platforms. One of the common uses of Python is scripting, which means automating tasks.
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Python is a popular language used in many industries and in many programming disciplines. DevOps engineers use Python to script websites.
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Python has a simple syntax that makes it a great programming language for beginners to learn. To learn Python on your own, you need to get familiar first
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Machine learning describes systems that make predictions using a model trained on real-world data.
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Today, machine learning is applied in almost every field. This includes medical diagnostics, facial recognition, weather forecasting, image processing.
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It is possible to use machine learning without writing code, but building new systems generally requires code.
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Python is the most widely used language in machine learning. Engineers writing machine learning systems often use Jupyter and Python notebooks together.
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Machine learning is generally divided into supervised machine learning and unsupervised machine learning. in supervised machine learning
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Machine learning is one of the fastest growing and most popular careers in computer science. It is constantly growing and evolving.
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Machine learning is a smaller subset of the broader spectrum of artificial intelligence. While artificial intelligence describes any “intelligent machine”.
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A machine learning engineer should be a highly skilled programmer with deep knowledge of computer science, mathematics, data science.
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Python machine learning, complete machine learning, az machine learning
This course is suitable for people who
- Anyone who wants to start learning “Machine Learning”.
- Anyone who needs a complete guide on how to get started and continue working with machine learning
- Students interested in starting data science applications in the Python environment
- People who want to specialize in the Anaconda Python environment for data science and scientific computing
- Students who wish to learn the application of supervised learning (classification) to real data using Python
- Anyone interested in learning Python for data science and machine learning bootcamps without a coding background
- Anyone considering a career as a data scientist,
- A software developer who wants to learn Python.
- Anyone interested in machine learning az
- People who want to become scientists
- People who want to learn full machine learning
Details of the Machine Learning & Data Science with Python Kaggle & Pandas course
Course topics Machine Learning & Data Science with Python Kaggle & Pandas on 1/2024
Prerequisites of the Machine Learning & Data Science with Python Kaggle & Pandas course
- 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 learn matplotlib
- Desire to learn pandas and numpy
- Desire to learn machine learning az, 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.
Machine Learning & Data Science with Python Kaggle & Pandas course images
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Installation guide
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