- What is Machine Learning?
- More About Machine Learning
- Machine Learning Terminology
- Evaluation Metrics
- What is Classification vs Regression?
- Evaluating Performance-Classification Error Metrics
- Evaluating Performance-Regression Error Metrics
- Machine Learning with Python
- Supervised Learning
- Cross-Validation and Bias Variance Trade-Off
- Use Matplotlib and seaborn for data visualizations
- Machine Learning with SciKit Learn
- Linear Regression Theory
- Logistic Regression Theory
- Logistic Regression with Python
- K Nearest Neighbors Algorithm Theory
- K Nearest Neighbors Algorithm With Python
- K Nearest Neighbors Algorithm Project Overview
- K Nearest Neighbors Algorithm Project Solutions
- Decision Trees And Random Forest Algorithm Theory
- Decision Trees And Random Forest Algorithm With Python
- Decision Trees And Random Forest Algorithm Project Overview
- Decision Trees And Random Forest Algorithm Project Solutions
- Support Vector Machines Algorithm Theory
- Support Vector Machines Algorithm With Python
- Support Vector Machines Algorithm Project Overview
- Support Vector Machines Algorithm Project Solutions
- Unsupervised Learning Overview
- K Means Clustering Algorithm Theory
- K Means Clustering Algorithm With Python
- K Means Clustering Algorithm Project Overview
- K Means Clustering Algorithm Project Solutions
- Hierarchical Clustering Algorithm Theory
- Hierarchical Clustering Algorithm With Python
- Principal Component Analysis (PCA) Theory
- Principal Component Analysis (PCA) With Python
- Recommender System Algorithm Theory
- Recommender System Algorithm With Python
With my up-to-date course, you will have a chance to keep yourself up-to-date and equip yourself with a range of Python programming skills. I am also happy to tell you that I will be constantly available to support your learning and answer questions.