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SarveshChandra / Machine-Learning-and-Artificial-Intelligence-Case-Studies

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AIML Projects

statistics computer-vision deep-learning random-forest feature-extraction batch-normalization neural-networks supervised-learning pca recommendation-system ensemble-learning object-detection adaboost decision-trees feature-engineering unsupervised-learning support-vector-machines object-recognition knearest-neighbor-algorithm gradient-boosting
  • Updated May 26, 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 May 26, 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 May 27, 2024
  • Jupyter Notebook

Qaswara98 / Thesis_PCA_vs_AE

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This project is a comparative study of Autoencoder (AE) and Principal Component Analysis (PCA) for dimensionality reduction in gene expression data. It aims to understand the unique capabilities and applications of both methods in handling high-dimensional biological data.

machine-learning bioinformatics ae pca dimensionality-reduction autoencoders bioinformatics-tool geneexpression autoencodervspca
  • Updated May 25, 2024
  • Jupyter Notebook

KKBUGHUNTER / Machine-Learning-Lab

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Dive into the world of Machine Learning in this immersive lab course, exploring open-source tools and algorithms such as random forest, SVM, linear regression, PCA, K-means, LDA, KNN, decision tree, and more. Engage in real-world ML projects and deploy your models, gaining practical experience in the forefront of AI technology.

open-source random-forest svm linear-regression ml pca kmeans lda knn decision-tree ml-project ml-deploy pla-mlp
  • Updated May 24, 2024
  • Jupyter Notebook

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