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gradient-boosting

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mohd-faizy / Machine-Learning-Algorithms

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This Repository consist of some popular Machine Learning Algorithms and their implementation of both theory and code in Jupyter Notebooks

deep-learning neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning logistic-regression convolutional-neural-networks decision-trees unsupervised-learning support-vector-machines gradient-boosting k-means-clustering k-nearest-neighbors bayesian-algorithm dimensionality-reduction-algorithms
  • Updated Nov 30, 2020
  • Jupyter Notebook

laibaabbas / ICLR-ML-CaseStudies

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Machine Learning Case Studies implemented in Python. Includes 5 Jupyter notebooks covering real-world datasets and models: regression, classification, feature engineering, and model evaluation.

python nlp machine-learning random-forest clustering regression python3 artificial-intelligence pca classification decision-trees svm-model kmeans-clustering gradient-boosting time-series-analysis workcloud
  • Updated Aug 30, 2025
  • Jupyter Notebook

theiturhs / House-Price-Prediction-using-ML-Regression-models

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This notebook is about data visualization, pre-processing the data and selecting regression model out of different regression model based on the accuracy given on validation data.

python machine-learning linear-regression machine-learning-algorithms kaggle-competition xgboost gradient-descent ridge-regression kaggle-house-prices gradient-boosting kaggle-dataset house-price-prediction lasso-regression box-plot xgboost-classifier
  • Updated Jul 23, 2023
  • Jupyter Notebook

mrankitgupta / titanic-survival-prediction-93-xgboost

Star 1

Titanic Survival Prediction Project (93% Accuracy)🛳️ In this notebook, The goal is to correctly predict if someone survived the Titanic shipwreck using different Machine Learning Model & Hyperparameter tunning.

nlp data-science machine-learning random-forest linear-regression machine-learning-algorithms ml prediction data-visualization titanic-kaggle kaggle-competition xgboost classification data-analysis logistic-regression titanic predictive-modeling gradient-boosting titanic-survival-prediction ml-models
  • Updated Jan 8, 2023
  • Jupyter Notebook

BatthulaVinay / phone-usage-analysis

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This project analyzes phone usage patterns in India and predicts the primary use of mobile devices based on various features. The notebook covers data preprocessing, exploratory data analysis (EDA), and model training using multiple classification algorithms.

random-forest numpy scikit-learn exploratory-data-analysis jupyter-notebook pandas seaborn xgboost lightgbm logistic-regression matplotlib confusion-matrix adaboost imbalanced-data classification-report gradient-boosting datavisualization datapreprocessing accuracy-score supportvectormachines
  • Updated Feb 14, 2025
  • Jupyter Notebook

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