Data Science and Machine Learning Fundamentals [Theory Only]

Theorical Course for Data Science, Machine Learning, Deep Learning to understand the logic of Data Science algorithms

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 isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries.
• 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
• 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
• Machine learning is one of the fastest-growing and popular computer science careers today. Constantly growing and evolving.
• Python instructors on OAK Academy specialize in everything from software development to data analysis, and are known for their effective.
• Machine learning describes systems that make predictions using a model trained on real-world data.

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
• 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
• Curiosity for machine learning python
• Desire to work on python machinace 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
• 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 who plans a career in data scientist,
• Software developer whom want to learn python,
• People who want to become data scientist
• People who want to learn machine learning a-z and data science