machine-learning/
├── introduction-to-ml
├── linear-regression
├── ridge-regression
├── lasso-regression
├── elasticnet
├── logistic-regression
├── svm
├── naive-bayes
├── knn
├── decision-tree
├── random-forest
├── adaboost
├── gradient-boosting
├── xgboost
└── ml-project-lifecycle
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Introduction to ML
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Linear Regression
- Simple Linear Regression
- Multi Linear Regression
- Polynomial Regression
- Hyperparameter Tuning
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Algorithms
- Ridge
- Lasso
- ElasticNet
- Hyperparameter Tuning
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Fire Not Fire Classification Project
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Logistic Regression
- OVR
- Hyperparameter Tuning
- GridSearchCV
- Randomised Search CV
- ROC AUC
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SVM
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Naive Bayes Theorem
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K-nearest Neighbour ML Algorithm
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Decision Tree Classifier And Regression
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Random Forest Machine Learning
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Adaboost
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Gradient Boosting
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XgBoost