Machine Learning - Practical assignment
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Updated
Feb 8, 2024 - Python
Machine Learning - Practical assignment
learning python day 15
This GitHub repository contains a collection of machine learning implementations and evaluations. It includes code for ensemble learning, decision trees, AdaBoost, logistic regression, and K-means clustering. Each section focuses on a specific algorithm or technique and provides code examples for training models, making predictions, and evaluating
Data Science project using Census Income dataset. (Kaggle Competition)
We have analysis their drug addiction behavior. From this research work we can identify drug addiction behavior also. We have used classification model to classified different types of drug addiction people problem.
Diabetes detection in patients using different machine learning techniques and comparing the algorithms based on confusion matrix and other metrics.
ADABOOST - MULTICLASS CLASSIFICATION - MACHINE LEARNING - PYTHON : Predict category of problem solved as part of Piramal Hackathon
Employing Various Data Mining Technique.
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