GitHub - Waseekk/Machine-Learning_Deep-Learning: Master Decision Trees & Ensembles in Python with this ML notebook! Classification, Regression, Bagging, Boosting, & Tuning. Elevate your ML skills now! 🌲🚀 · GitHub

Name		Name	Last commit message	Last commit date
Agro_ML.ipynb		Agro_ML.ipynb
Analyzing Traffic Mortality with Machine Learning.ipynb		Analyzing Traffic Mortality with Machine Learning.ipynb
Brest Cancer Classification_.ipynb		Brest Cancer Classification_.ipynb
ImageClassification_DataAug-Copy1.ipynb		ImageClassification_DataAug-Copy1.ipynb
ImageClassification_DataAug_(cutout_2).ipynb		ImageClassification_DataAug_(cutout_2).ipynb
Machine Learning with Tree-Based Models in(Kaggle Data Sets).ipynb		Machine Learning with Tree-Based Models in(Kaggle Data Sets).ipynb
Mobile Games AB Testing with Cookie Cats.ipynb		Mobile Games AB Testing with Cookie Cats.ipynb
Predicting_House_Prices_in_Ames,_Iowa_A_Regression_Analysis_with_XGBoost.ipynb		Predicting_House_Prices_in_Ames,_Iowa_A_Regression_Analysis_with_XGBoost.ipynb
Supervised Learning.ipynb		Supervised Learning.ipynb
cookie_cats.csv		cookie_cats.csv
unsupervised_data pipeline+recommendation system.ipynb		unsupervised_data pipeline+recommendation system.ipynb

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Master Decision Trees & Ensembles in Python with this ML notebook! Classification, Regression, Bagging, Boosting, & Tuning. Elevate your ML skills now! 🌲🚀

classification classificationdeep decision-tree-classifier deeplearning gradient-boosting image kmeans kneighborsclassifier knn learning logistic-regression machine regression support-vector-machines xgboost-algorithms

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