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chaitanya9321 / Titanic-Survival

Created a Titanic dataset analysis and prediction web app using Flask. Explored passenger data, engineered features, and deployed a predictive model for survival estimation.

docker machine-learning deployment flask-application support-vector-machines svm-classifier svm-kernel

Updated Nov 17, 2023
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Pryagrawal / SVM_Iris_Data

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svm-model svm-classifier svm-kernel

Updated Jul 5, 2019
Python

AmirHHasani / Machine-Learning-Algorithms

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A collection of my practices using the following algorithms: DBSCAN, KNN, Decision Tree Classifier, K-means, Apriori, SMOTE, SVM

machine-learning machine-learning-algorithms k-means knn svm-model decision-tree-classifier apriori-algorithm dbscan-clustering kmeans-algorithm k-means-clustering knn-algorithm dbscan-algorithm svm-kernel smote-algorithm

Updated Oct 2, 2022
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Ola76 / Restuarant_Reviews

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Using Bag 0f Words Model and vector to analyse the business reviews.

nlp sentiment-analysis svm tokenizer naive-bayes wordcloud reviews requests nltk bag-of-words logistic-regression confusion-matrix nlp-machine-learning svm-kernel

Updated Aug 23, 2023
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Shubhamd1234 / Predicting-Laptop-Prices-Using-Machine-Learning

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Laptop Price Prediction Model: A machine learning model that predicts laptop prices based on various features such as RAM, storage, and brand, utilizing techniques like stacking regression for best accuracy.

machine-learning algorithms random-forest eda data-preprocessing prediction-model svm-kernel stackingregressor

Updated Oct 20, 2024
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shreyas-dharanesh / Support_Vector_Machine_for_Classification

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SVM algorithm in Python with classification. The goal of this project is to predict whether the customer will purchase a car(1) or not(0).

machine-learning svm machine-learning-algorithms python3 svm-model svm-classifier prediction-model machinelearning-python svm-kernel

Updated Jun 7, 2020
Python

Samir-Zade / SVM-Decision-Tree-and-Naive-Bayes-Algorithm

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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

Updated Mar 9, 2024
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kshitizrohilla / user-purchase-prediction-and-classification-using-support-vector-machine-algorithm

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This project implements the Support Vector Machine (SVM) algorithm for predicting user purchase classification. The goal is to train an SVM classifier to predict whether a user will purchase a particular product or not.

svm support-vector-machine support-vector-machines svm-training svm-model svm-classifier support-vector-classifier support-vector-machine-svm svm-kernel support-vector-classification

Updated May 17, 2023
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JaewonSon37 / Data_Mining

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Topic: Data Analysis with Voice Dataset for Gender Recognition // Summary: Explored algorithms and found the best model that showed a 98.2% classification accuracy for a voice dataset

voting jupyter-notebook logistic-regression decision-tree-classifier svm-classifier boosting bagging random-forest-classifier knn-classifier svm-rbf svm-kernel

Updated Dec 15, 2023
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Baran-phys / Neural-PID-Estimator

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Bayesian approach for combined Particle Identification

kernel pid dnn pandas seaborn feature-selection xgboost bayesian-inference root-cern hyperparameter-tuning roc-auc svm-kernel

Updated Apr 8, 2020
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prajakta1321 / Creed-Collection-of-ML-Algos-and-Strategies

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Creed is a dynamic repository where machine learning algorithms meet practical implementation, crafted through hands-on coding sessions in Google Colaboratory.

machine-learning machine-learning-algorithms python3 classification feature-engineering algorithms-implemented regression-analysis emsembling colaboratory svm-kernel pythonlibrarires

Updated Oct 11, 2024
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MoinDalvs / Assignment_SVM_Forest_Fire_Prediction

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data-science regularization hyperparameter-tuning svm-classifier kernel-trick auc-roc-curve svm-kernel smotetomek smoteenn smote-sampling adasyn-sampling

Updated Jun 14, 2022
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akash18tripathi / SVM-from-scratch-Constraints-analysis

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This repository provides a Python implementation of Support Vector Machines (SVM) from scratch using a quadratic solver like CXPY. The implementation includes both soft margin and hard margin SVM algorithms.

mnist-classification support-vector-machines svm-kernel quadratic-solver hard-margin-svm soft-margin-svm