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16 search results found

Machine Learning Models ⭐ 81

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Isl Python ⭐ 50

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Heart_disease_prediction ⭐ 49

Heart Disease prediction using 5 algorithms

Predicting Baseball Statistics ⭐ 14

Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn

Emotion Prediction With Quantum5 Neural Network Ai Machine Learning ⭐ 13

Emotion Prediction with Semi Supervised Learning of Machine Learning Software with RC Algorithm - By Emirhan BULUT Emotion-Prediction-with-Quantum5-Neural-Network-AI

Mobile Price Prediction Classification Analysis ⭐ 10

Supervised Machine Learning Analysis Using Classification Models

Document_classification ⭐ 10

Python code for classification of documents into different classes using machine learning

Sentimentanalysis Python Demo ⭐ 10

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

The Math Of Intelligence ⭐ 8

Implementation of Artificial Intelligence models without using any blackbox or libraries 😎

Machine Learning Rare Event Classification ⭐ 7

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.

Craftml Rs ⭐ 7

A Rust🦀 implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning

Income Prediction Machine Learning ⭐ 7

In this project, I employ several supervised algorithms to accurately predict an individual income using data collected from the 1994 U.S. Census. We implement various testing procecures to choose the best candidate algorithm from preliminary results and further optimize this algorithm to best model the data.

Machine Learning Bootcamp ⭐ 5

A beginner friendly ML course designed by us at Hermes AI Center for everyone with no prior knowledge in computer science concepts.

Predictive Modeling In R ⭐ 5

Workshop (2-6 hours): cleaning, missing value imputation, EDA, ensemble learning, calibration, variable importance ranking, accumulated local effect plots. WIP.

Machine Learning Course ⭐ 5

Machine Learning and Deep Learning Course

Predict Price Car ⭐ 5

🚘 Predict price of car with Random Forest Regression

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