Python Programming: Machine Learning, Deep Learning | Python

Python Machine Learning and Python Deep Learning with Data Analysis, Artificial Intelligence, OOP, and Python Projects

Created by: Oak Academy
AI, Comptia, Cybersecurity, Android, Development & IT course

Created by: OAK Academy Team
instructor

Created by: Ali̇ CAVDAR
DATA SCIENTIST AND IT INSTRUCTOR

What Will I Learn?

• Fundamental stuff of Python and its library Numpy
• What is the AI, Machine Learning and Deep Learning
• History of Machine Learning and python programming
• Turing Machine and Turing Test
• The Logic of Machine Learning such as Machine Learning models and algorithms, Gathering data, Data pre-processing, Training and testing the model etc.
• What is Artificial Neural Network (ANN)
• Anatomy of NN
• Tensor Operations
• Python instructors on Udemy specialize in everything from software development to data analysis, and are known for their effective.
• Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries.
• The Engine of NN
• Keras
• Tensorflow with python programming
• Convolutional Neural Network
• Recurrent Neural Network and LTSM
• Transfer Learning with python programming
• Python instructors on Udemy specialize in everything from software development to data analysis, and are known for their effective.
• Python (python programming)
• Machine Learning, python machine learning
• Deep Learning, python deep learning
• Machine Learning with Python
• Python Programming
• Deep Learning with Python
• 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 and Python Deep Learning with Data Analysis, Artificial Intelligence, OOP, and Python Projects

Requirements

• Python Coding skills are a plus
• Math skills will boost your understanding
• Be able to download and install all the free software and tools needed to practice
• A strong work ethic, willingness to learn and plenty of excitement about the back door of the digital world
• Just you, your computer and your ambition to get started now!
• Basic knowledge of Python Programming Language
• Free software and tools used during the machine learning a-z course
• Determination to learn machine learning and patience.
• Curiosity for machine learning python
• Desire to learn Python
• Desire to work on python machine learning
• Desire to learn Python 3
• Desire to learn numpy
• Desire to learn numpy python, machine learning, deep learning
• Desire to learn artificial intelligence with python, numpy python, python deep learning, python machine learning

Target audience

• Anyone who has programming experience and wants to learn machine learning and deep learning.
• Statisticians and mathematicians who want to learn machine learning and deep learning.
• Tech geeks who curious with Machine Learning and Deep Learning concept.
• Data analysts who want to learn machine learning and deep learning.
• If you are one of these, you are in the right place. But please don't forget. You must know a little bit of coding and scripting.
• Anyone who need a job transition
• Anyone eager to learn python for data science and machine learning bootcamp with no coding background
• Software developer whom want to learn python,
• Anyone interested in machine learning a-z
• People Wanting to Specialize in Anaconda Python Environment for Data Science and Scientific Computing
• Students Interested in Beginning Data Science Applications in Python 3 Environment
• People who want to learn deep learning python, machine learning, numpy