The Ultimate Guide to Mastering Machine Learning: From Beginner to Expert
1 min readMay 3, 2023
here I have mentioned a step-by-step tutorial. You click on a topic and move it to a blog, read the concept, and improve your Machine Learning skills.
- Need for Machine Learning, Basic Principles, Applications, Challenges
- Types of Machine Learning
- Linear Regression
- Logistic Regression (Binary Classification)
- K-Nearest Neighbors
- Decision Tree
- Random Forest
- Gradient Boosting (XGboost)
- Support Vector Machines
- Classification Evaluation measures (Accuracy, Precision, Recall, confusion Metrics) Overfitting and underfitting
- Neural Network Representation (Perceptron Learning)
- Convolution Neural Nets
- Recurrent Neural Nets
- Hyperparameter tuning
- Dimensionality Reduction (PCA, SVD)
- Clustering (K-Means Clustering, Hierarchical Clustering)
- Anomaly Detection
- Association Rule Learning
- Reinforcement Learning Fundamentals and Applications
- Q-Learning
- Recommendation Systems
This is my blog about Machine Learning Tutorial, which will help you easily learn ML Concepts. This blog will help you in passing examinations and expanding your Machine learning knowledge. I’m working on some more Machine learning concepts and Some Hands-On Projects. I will notify you once they are finished. For those Hands-On Projects, Follow my Medium profile.
“I never dreamed about success. I worked for it.”
