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abinashsahoo007 / Data-Science-Assignments

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Find all Data Science Assignment Here. These Assignments are based on different Statistical and Machine Learning Algorithms which is perform using python.

text-mining statistics random-forest clustering naive-bayes machine-learning-algorithms datascience neural-networks forecasting pca recommendation-system logistic-regression python-machine-learning support-vector-machines association-rules hypothesis-testing decision-tree-classifier k-nearest-neighbours simple-linear-regression multi-linear-regression
  • Updated Jul 1, 2024
  • Jupyter Notebook

h2oai / h2o-3

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H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

python java data-science machine-learning opensource r big-data spark deep-learning hadoop random-forest gpu naive-bayes h2o distributed pca gbm ensemble-learning automl h2o-automl
  • Updated Jul 1, 2024
  • Jupyter Notebook
Machine-Learning-Projects-In-Python

madhurimarawat / Machine-Learning-Projects-In-Python

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This repository contains machine learning projects in the Python programming language.

css python html machine-learning frontend random-forest naive-bayes linear-regression machine-learning-algorithms decision-tree flask-server spam-classification prediction-model titanic-dataset diabetes-prediction email-dataset titanic-visualization flask-deployment car-dataset salary-dataset
  • Updated Jun 29, 2024
  • Jupyter Notebook

hussain0048 / Natural-language-processing

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This repository is a related to all about Natural Langauge Processing - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)

nlp machine-learning natural-language-processing sentiment-analysis naive-bayes edit-distance pca word-by-word logistic-regression locality-sensitive-hashing cosine-similarity hash-table log-likelihood k-nearest-neighbors euclidean-distance laplacian-smoothing vector-space-models minimum-edit-distance supervised-ml word-by-document-desing
  • Updated Jun 23, 2024
  • Jupyter Notebook

ahmadrezasedghi / iris_classification

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This repository contains a project using the Iris dataset for data visualization, outlier detection, normalization, and classification. The project includes models like GaussianNB, RandomForestClassifier, and DecisionTreeClassifier, with hyperparameter tuning and PCA for dimensionality reduction.

visualization python data-science machine-learning data-mining correlation naive-bayes eda pca classification dimensionality-reduction iris decision-tree-classifier covariance f1-score z-score iqr random-forest-classifier gridsearchcv iris-classification
  • Updated Jun 12, 2024
  • Jupyter Notebook

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