Aliakbar-omidi/Brain-Tumor-Detection

This project focuses on detecting and classifying brain tumors (NonDemented, Very Mild Demented, Mild Demented, Moderate Demented)

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maheera421/Car-Price-Prediction-Model

A machine learning project that predicts car prices based on a dataset.

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jodiambra/Zyfra-Gold-Recovery-Predictions

Create a prototype for a machine learning model to predict the amount of gold recovered from gold ore.

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femtonelson/Classifying-Songs-Genres-From-Audio-Data

Exploring a music dataset by examining correlations between numerical variables, running a principal component analysis for dimensionality reduction and finally fitting both scikit learn Decision Tree Classification and Logistic Regression models to compare their performance.

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vaitybharati/Model-Validation-Methods

Model-Validation-Methods

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vaitybharati/KNN

K Nearest Neighbours in Python

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DataRohit/Car-Evaluation--Classification

This is a Kaggle Dataset where we classify the cars using their various features. Here I used plotly to visualize the Accuracy Scores. Also I used CrossValScore to get More accurate Accuracy Score.

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rahulg-101/Ads-Click-Through-Rate

In this project, I have developed a Machine Learning model to predict whether users will click on ads. By analyzing various characteristics of users who click on ads, we can gain valuable insights and optimize ad campaigns for better engagement.

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iamkirankumaryadav/Titanic

Titanic Survivor Analysis and Prediction

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bhulston/Random-Forest-on-Cancer-Classification

Built Random Forest classifier from scratch on top of Scikit Learn decision trees. Using Scikit Learn to create data cleaning pipelines, perform grid searches for hyper parameter tuning, and decision tree modeling

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angelicavelez/predict_the_amount_of_gold_mined

Model to predict the amount of gold extracted from gold mineral.

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Varun-N-M/strength-of-concrete_using_ML_models

Machine learning model which can predict the strength of a mixture for given composition of ingredients like cement, slag, ash, water, superplastic, coarse aggregates, fine aggregates, age.

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Praveen2812git/supervised_learning

Different types of supervised learning models used for classification problem. Included cross validation for finding hyperparameters whenever necessaruy.

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HoHasby/FSDS_GridSearchCV_RandomSearchCV_SaveAndLoadModel

GridSearchCV, RandomSearchCV For Model optimization and Saving/Loading the model

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Shuyib/pimaMLsklearn

Using various supervised learning estimators in Sci-Kit Learn to get the best prediction accuracy if possible for the pima indians dataset.

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HillidatulIlmi/Project-Milestone

This folder contains project assignments that solve the problem of a case based on a dataset with hypothesis testing, Supervised and Unsupervised material.

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Anas436/Cars-Price-Pediction-Evaluation-and-Refinement-Using-Python

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nani757/Pipelines

pipelines chains together multiple steps so that the output of each step is used as input to the next step

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vvittis/MachineLearning

Size: 20 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

prateekagr21/Telecom-Loan-Prediction

A model which can predict if the customer will pay the loan or not.

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Zauverer/Decision-Trees

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Zauverer/Support_Vector_Machine

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ml-opt/tibfold

Calculate the bias of k-fold cross-validation with hyper-parameter configuration

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