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7 search results found

The Python Workshop ⭐ 245

A New, Interactive Approach to Learning Python

Ml Spam Sms Classification ⭐ 23

Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification

Anytime Gridsearch ⭐ 10

An anytime implementation of scikit-learn GridSearchCV

Default Of Credit Card Clients Dataset Analisys ⭐ 9

Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.

Ml Modelling Disease Analysis ⭐ 8

Obtaining meaningful results from the data set using the model trained with machine learning methods.

Ghi Assessment Using Svr And Brr ⭐ 7

Global Horizontal Irradiance Analysis using Support Vector Regression and Bayesian Ridge Regression

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.

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