Complete Machine Learning & Data Science with Python

Complete Machine Learning & Data Science with Python | A-Z - Use Scikit, learn NumPy, Pandas, Matplotlib, Seaborn and dive into machine learning A-Z with Python and Data Science.

The “Complete Machine Learning & Data Science with Python | A-Z” course on Udemy is a comprehensive course that covers Scikit, NumPy, Pandas, Matplotlib, Seaborn, and dives into machine learning A-Z with Python and Data Science. The course is designed to teach you how to use machine learning for predictive texting or smartphone voice recognition. The course is constantly being updated with new content and is available on Udemy’s website

What you'll learn

Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries.
Learn Machine Learning with Hands-On Examples
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
Use matplotlib and seaborn for data visualizations
Machine Learning with SciKit Learn
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
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Machine learning describes systems that make predictions using a model trained on real-world data.
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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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