The aim of this project to see to do the prediction of the weather using the different types of machine learning model.
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May 10, 2023 - Jupyter Notebook
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decision-tree-regressor
Here are 37 public repositories matching this topic...
A model was built to predict the total insurance claim amount payable by the insurance company using machine learning techniques such as regression in python.
python machine-learning linear-regression exploratory-data-analysis pandas regression-models machine-learning-modeling decision-tree-regressor random-forest-regression seaborn-plots insuranceclaim vehicle-insurance
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Aug 26, 2021 - Jupyter Notebook
Machine learning project to predict NYC property prices.
python data-science machine-learning sklearn pandas random-forest-regressor decision-tree-regressor linear-regression-python
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Nov 24, 2021 - Jupyter Notebook
In this project, I am applying your frequentist inference and regression modelling skills to different datasets. I applied several machine learning algorithms and try to answer research questions of related problems and also perform data visualization to justify my results.
mac random-forest linear-regression data-visualization elastic-net lasso-regression decision-tree-regressor
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Dec 21, 2021 - Jupyter Notebook
Predicting house prices can help determine the selling price of a house in a particular region and can help people find the right time to buy a home.
machine-learning linear-regression decision-tree-regressor gridsearchcv svr-regression-prediction k-neighbors-regressor
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Jun 19, 2021 - Jupyter Notebook
Determining the housing prices of California properties for new sellers and also for buyers to estimate the profitability of the deal.
linear-regression sklearn pandas python3 matplotlib data-manipulation random-forest-regressor one-hot-encode decision-tree-regressor support-vector-regressor
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Jul 12, 2017 - Jupyter Notebook
Project done by me.
supervised-learning decision-tree-regression decision-tree-regressor mumbai-house-price-prediction mumbai-housing-dataset
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Oct 2, 2023 - Jupyter Notebook
Predicting breast cancer survival using machine learning models
machine-learning deep-learning random-forest linear-regression pca logistic-regression t-sne decision-trees breast-cancer-prediction knn breast-cancer random-forest-regressor decision-tree-regressor gene-mutation svm-rbf svm-linear learning-on-clinical-data gene-
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Mar 29, 2024 - Jupyter Notebook
Predicting using Decision Tree Regressor and Random Forest Regressor
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Feb 2, 2023 - Jupyter Notebook
nlp numpy linear-regression scikit-learn pandas python3 seaborn matplotlib textblob random-forest-regressor decision-tree-regressor matplotlib-pyplot
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Apr 5, 2020 - Jupyter Notebook
Third Assignment in 'Practical topics in Machine Learning' course by Dr. Kfir Bar at Bar-Ilan University
machine-learning random-forest regression classification mnist-dataset decision-trees decision-tree-classifier random-forest-regressor random-forest-classifier decision-tree-regressor california-housing
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May 16, 2021 - Jupyter Notebook
Using a dataset provided by Airbnb, analysis and predictions will be made to understand what effects the total price of an Airbnb
data-science machine-learning linear-regression scikit-learn dataset confusion-matrix rmse classification-report smote random-forest-regressor decision-tree-regressor one-hot-encoding grid-search-cv
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Nov 8, 2022 - Jupyter Notebook
Explorando as notas do ENEM de 2018 tal como análise sobre o gabarito x acertos x erros e criando um Machine Learning para adivinhar as notas.
python machine-learning numpy sklearn pandas python3 seaborn decision-tree-regressor matplot linearsrv dummy-regressor
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May 20, 2020 - Python
This repository contains a machine learning project aimed at predicting diabetes using various algorithms such as Decision Tree Regression, Support Vector Regression (SVR), and Gaussian Naive Bayes (GaussianNB). Additionally, it provides a web deployment mechanism for the trained models, enabling easy access and utilization.
svm machine-learning-algorithms naive-bayes-classifier decision-trees naive-bayes-algorithm svm-classifier decision-tree-regressor svc-model gaussian-naive-bayes svc-classifier bernaulli-naive-bayes
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Mar 9, 2024 - Jupyter Notebook
Machine Learning Examples for Beginners
python machine-learning random-forest naive-bayes linear-regression jupyter-notebook support-vector-machines decision-tree principal-component-analysis multinomial-naive-bayes random-forest-classifier decision-tree-regressor makine-ogrenmesi random-forest-regression gaussian-naive-bayes
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Mar 26, 2021 - Jupyter Notebook
A machine learning application aimed at predicting employee salaries based on various features such as experience, education level, location, etc. By using different models and techniques, the project seeks to present an optimized model for salary predictions.
linear-regression xgboost lightgbm support-vector-machine ridge-regression polynomial-regression elasticnet lasso-regression random-forest-regressor decision-tree-regressor k-nearest-neighbors catboost gradient-boosting-regressor
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Aug 30, 2024 - Python
Applying data mining algorithms to the Stack Overflow Developer Survey dataset using Python
python data-mining random-forest data-mining-algorithms decision-tree random-forest-regressor decision-tree-regressor
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Nov 16, 2021 - Python
This Repository consist of all the Jupyter Notebooks, Images and .CSV files of the tasks that were assigned during the Cognizant Artificial Intelligence Course hosted on Forage
data-science data machine-learning data-mining jupyter-notebook data-visualization time-series-analysis random-forest-regressor decision-tree-regressor machine-learning-production cognizant data-modelling forage model-building-and-interpretation
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Dec 6, 2023 - Jupyter Notebook
🏡House Price Prediction, Artificial Intelligence course, University of Tehran
linear-regression scikit-learn machine-learning-algorithms kaggle regression-models house-price-prediction random-forest-regressor decision-tree-regressor voting-regressor k-nearest-neighbours-regressor
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Sep 3, 2022 - HTML
This repository contains implementations of popular machine learning algorithms including Support Vector Machine (SVM), Decision Tree, and Naive Bayes. Each algorithm is implemented separately, providing clear and concise examples of their usage for classification tasks.
python machine-learning svm machine-learning-algorithms decision-trees decision-tree-classifier svm-classifier decision-tree-regressor svm-kernel svm-regressor svr-regression-prediction svc-classfier-prediction
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Mar 9, 2024 - Jupyter Notebook
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