Machine Learning Python with Theoretically for Data Science

Machine Learning with Python in detail both practically and theoretically with machine learning project for data science

Created by: Oak Academy
Web & Mobile Development, IOS, Android, Ethical Hacking, IT

Created by: OAK Academy Team
instructor

Created by: Ali̇ CAVDAR
DATA SCIENTIST AND IT INSTRUCTOR

What Will I Learn?

• Machine learning describes systems that make predictions using a model trained on real-world data
• Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and ne
• Machine learning is a smaller subset of the broader spectrum of artificial intelligence. While artificial intelligence describes any "intelligent machine"
• Machine learning is one of the fastest-growing and popular computer science careers today. Constantly growing and evolving.
• Machine learning is generally divided between supervised machine learning and unsupervised machine learning. In supervised machine learning.
• Machine learning is being applied to virtually every field today. That includes medical diagnoses, facial recognition, weather forecasts, image processing.
• What is Machine Learning?
• What are Machine Learning Terminologies?
• Installing Anaconda Distribution for Windows
• Installing Anaconda Distribution for MacOs
• Installing Anaconda Distribution for Linux
• Overview of Jupyter Notebook and Google Colab
• Classification vs Regression in Machine Learning
• Machine Learning Model Performance Evaluation: Classification Error
• Metrics
• Machine Learning Model Performance Evaluation: Regression Error Metrics
• Machine Learning with Python
• What is Supervised Learning in Machine Learning?
• What is Linear Regression Algorithm in Machine Learning?
• Linear Regression Algorithm with Python
• What is Bias Variance Trade-Off?
• What is Logistic Regression Algorithm in Machine Learning?
• Logistic Regression Algorithm with Python
• machine learning, python, data science, machine learning python, python data science, machine learning a-z
• Python is the most used language in machine learning. Engineers writing machine learning systems often use Jupyter Notebooks and Python together.

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 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 with Python
• Desire to learn Python
• Desire to work on Python and Machine Learning
• Desire to learn Matplotlib library
• Desire to learn Pandas library
• Desire to learn Numpy library
• Desire to work on Seaborn library
• Desire to learn Machine Learning A-Z

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 who want to Specialize in Anaconda Python Environment for Data Science and Scientific Computing
• Students who want to Learn the Application of Supervised Learning 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 Science.
• Anyone who plans a career in Data Scientist,
• Software developer who want to learn Python