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ashva7 / finding_donors

Finding Donor for CharityML - Machine Learning Nanodegree from Udacity

udacity supervised-learning ensemble-learning logistic-regression data-preprocessing grid-search udacity-nanodegree gradient-boosting-classifier stochastic-gradient-descent gradient-boosting udacity-machine-learning-nanodegree supervised-machine-learning ensemble-classifier supervised-learning-algorithms gridsearchcv finding-donors charityml layman-s-terms

Updated Aug 26, 2018
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geekquad / Facial-Recognition-with-PCA

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Face Recognition Implementation using PCA, eigenfaces, and SVM

sklearn pca face-recognition svm-classifier eigenfaces gridsearchcv lfw-dataset

Updated Jul 15, 2020
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simonefinelli / PulsarStar

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Predict a Pulsar Star using Stochastic Gradient Descent, K nearest neighbors, Support Vector Machine and Decision Tree classifiers.

cross-validation supervised-learning classification decision-tree-classifier binary-classification svm-classifier stochastic-gradient-descent knearest-neighbor-classifier knn-classification gridsearchcv

Updated Feb 10, 2023
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KaranSharma18 / Housing-Prices-Prediction

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This project predicts Median Values of Houses of California with RMSE - 47K by using various Regression Algorithms namely SVM, Random Forest, Linear Regression, etc

scikit-learn pipelines data-visualization feature-selection feature-engineering regression-models wrangling fine-tuning gridsearchcv

Updated Mar 9, 2021
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Doumham-Armah / XGBoostRainPrediction

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using XGBoost to predcit if it'll rain on any given day in Australia

time-series pandas xgboost logistic-regression gridsearchcv

Updated Apr 9, 2021
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vaitybharati / KNN

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K Nearest Neighbours in Python

python knn-classification kneighborsclassifier knn-model cross-validation-score gridsearchcv

Updated Jan 24, 2021
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JennyferWAN / Coursera_IBM_ML_with_Python

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IBM Machine Learning with Python

python machine-learning clustering svm sklearn machine-learning-algorithms coursera xgboost logistic-regression ibm decision-trees kmeans-clustering ibm-watson ibm-cloud dbscan-clustering knn-classification gridsearchcv ibm-coursera

Updated Feb 2, 2022
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Neel14-stack / Real-State-Prediction

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Predicting real state house price using Machine Learning Algorithms

machine-learning flask-backend gridsearchcv k-fold-cross-validation

Updated Oct 10, 2022
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evanderin67 / Aria-Plant-Nutrition-Prediction-with-Supervised-Machine-Learning

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This project aims to built a Webapps to predict plant nutrition with 8 variable

random-forest linear-regression regression xgboost adaboost svr gridsearchcv

Updated Mar 4, 2023
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Alemato / Cardiotocography-Data-Set

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Progetto per l'esame di Introduzione alla Data Science del Master Mobile e Web Technologies XIV 2021/2022

data-science numpy sklearn university-project pandas seaborn matplotlib pyton gridsearchcv jupiter-notebook mlpclassifier

Updated Jun 11, 2023
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adkwn1 / numerical_methods

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Trains, tunes, and evaluates different regression models to develop a time-efficient, high-quality model for predicting car prices based on RMSE and CPU runtime.

python time sklearn pandas performance-analysis rmse regression-algorithms gridsearchcv lightgbm-regressor catboostregressor

Updated Jul 25, 2023
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adkwn1 / time_series_analysis

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Time series analysis and regression model to predict the number of taxi rides ordered in the next hour.

python sklearn pipelines pandas scaling feature-engineering statsmodels time-series-analysis gridsearchcv time-series-forecasting matplotlib-pyplot

Updated Jul 19, 2023
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sirrtt / Predicting-high-risk-of-death-patients-due-to-COVID-19-using-classification-algorithms

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Predicting high risk of death patients due to COVID-19 using classification algorithms

python naive-bayes naive-bayes-classifier decision-trees knn naive-bayes-algorithm decision-tree knn-classification kfold-cross-validation gridsearchcv

Updated Mar 21, 2023
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ksharma67 / Heart-Failure-Prediction

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This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.

python random-forest numpy svm sklearn eda pandas seaborn xgboost lightgbm logistic-regression decision-trees lime eli5 gridsearchcv auc-roc-curve shap auc-roc-score skit-learn

Updated Dec 16, 2022
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sukhmani1303 / flight-price-prediction

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A Streamlit ML app for flight price prediction. This one project involves concepts like EDA, Linear, Lasso & Ridge Regression, Kfold, Hyper Parameter Tuning & GridSearchCV. I am constantly building a rich repository of all the information I have on a particular topic as part of my machine learning practice. Very Helpful for ML beginners.

python machine-learning pipeline linear-regression machine-learning-algorithms eda artificial-intelligence ridge-regression hyperparameter-tuning lasso-regression kfold-cross-validation gridsearchcv machine-learning-beginners streamlit flight-price-prediction streamlit-application

Updated Apr 9, 2024
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hhafzahh / Mobile-Price-Range-Prediction

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Machine Learning Algorithms using Python 3 to predict price ranges of mobile phone

classifier random-forest logistic-regression python-3 decision-tree-classifier gradient-boosting-classifier svm-classifier kaggle-dataset knn-classification gridsearchcv

Updated Feb 13, 2022
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Asifdotexe / real-estate-price-prediction

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The objective of this project is to apply my knowledge of data science and machine learning to create a house price prediction model in a well documented fashion

linear-regression machine-learning-algorithms predictive-modeling house-price-prediction gridsearchcv