Member-only story
Important Links of Articles in Data Science and Deep Learning
Learn and practice
I am sharing links to articles related to python, statistics, machine learning, deep learning, and image processing topics. Hope you will get some benefit from these articles.
Machine Learning
1. Concepts of Bias and Variance In Dataset
2. Fully Explained Linear Regression with Python
3. Fully Explained Logistic Regression with Python
4. Fully Explained K-means Clustering with Python
5. Fully Explained SVM Classification with Python
6. Fully Explained Decision Tree Classification with Python
7. Fully Explained Ensemble Random Forest Example with Python
8. Fully Explained K-Nearest Neighbors with Python
9. Fully Explained Gradient Boosting Technique in Supervised Learning
10. Fully Explained DBScan Clustering Algorithm with Python
11. Fully Explained BIRCH Clustering for Outliers with Python
12. Fully Explained Hierarchical Clustering with Python
13. Regression and Classification Metrics in Machine learning with Python
14. Confusion Matrix in Machine Learning
15. Regression Algorithm to Predict House Prices in Python
16. Data Preprocessing Concepts with Python
17. Principal Component Analysis in Dimensionality Reduction with Python
18. Tips and Tricks in Machine Learning with Python to Avoid Data Leakage
19. Reading Different Data Inputs in Machine Learning with Python
20. Different Data Splitting Cross-Validation Strategies with Python
21. Matplotlib and Seaborn Visualization with Python
22. Dummy Estimator: A Short Concept in Sklearn
23. Diabetes Classification Model with SVM and KNN models
24. Data Cleaning of an Investment Project with Python
25. Different Types of Clustering Methods in Unsupervised Learning
26. Machine Learning Modeling Data with Python
27. Perform XGBoost, KNN Modeling With Dimension Reduction Technique
28. Concrete Strength Modeling with 5 Machine Learning Algorithms
29. Flight Price Prediction with Random Forest in Python
30. Lasso (l1) and Ridge (l2) Regularization Techniques
