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
4.73 (11 reviews)
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102
students
2 hours
content
Feb 2025
last update
$19.99
regular price
What you will 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.
Related Topics
5236578
udemy ID
3/27/2023
course created date
4/16/2023
course indexed date
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