sqlite3 tf-idf preprocessing webscraping hyperparameter-tuning classification-algorithm gridsearchcv etl-pipeline
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Aug 12, 2024 - HTML
#
hyperparameter-tuning
Here are 44 public repositories matching this topic...
Coursera - Deep Learning Specialization - deeplearning.ai
deep-learning neural-network tensorflow keras coursera recurrent-neural-networks batch-normalization convolutional-neural-networks gradient-descent hyperparameter-tuning andrew-ng classification-algorithims mini-batch-gradient-descent neural-style-transfer deeplearning-ai yolov3 machine-learning-case-study
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Apr 9, 2019 - HTML
Auto-tuning Data Science Pipelines
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Jul 3, 2018 - HTML
Bayesian optimization using Gaussian Process regression (Python)
machine-learning optimization hyperparameters bayesian-optimization hyperparameter-tuning optimization-algorithms bayesian-statistics
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Dec 6, 2024 - HTML
[Coursera] Deep Learning Specialization on Coursera
deep-learning neural-network tensorflow keras coursera recurrent-neural-networks batch-normalization convolutional-neural-networks gradient-descent hyperparameter-tuning andrew-ng classification-algorithims mini-batch-gradient-descent neural-style-transfer deeplearning-ai yolov3 machine-learning-case-study
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Jan 22, 2019 - HTML
The jupyter notebooks of the deep learning specialization by deeplearning.ai
machine-learning deep-learning coursera assignment artificial-intelligence neural-networks hyperparameter-optimization artificial-neural-networks convolutional-neural-networks hyperparameter-tuning sequence-models structuring andrew-ng-course
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Aug 30, 2018 - HTML
This repository offers a robust solution for multilabel image classification. Utilizing advanced neural networks like VGG16, VGG19, ResNet50, InceptionV3, DenseNet121, and MobileNetV2, the project achieves precise classification across 107 diverse categories.
python data-science machine-learning deep-neural-networks computer-vision tensorflow image-processing hyperparameter-optimization image-classification convolutional-neural-networks transfer-learning hyperparameter-tuning multilabel-classification model-optimization
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Jul 23, 2024 - HTML
A comprehensive end-to-end machine learning project analyzing Airbnb listings data. This project includes exploratory data analysis, model training, optimization, and model interpretability, using a randomly generated dataset for demonstration purposes.
python data-science machine-learning exploratory-data-analysis data-visualization hyperparameter-tuning regression-analysis model-interpretability airbnb-data
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Sep 9, 2024 - HTML
Given Midi music files, predict the artist. (+ project presentation)
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Sep 20, 2023 - HTML
Dedicated to providing cutting-edge solutions in the field of data science, covering a range of advanced techniques like model training, evaluation etc.
encoding data-science machine-learning ai pipeline ci-cd feature-selection artificial-intelligence feature-extraction ensemble-learning feature-engineering hyperparameter-tuning model-evaluation ensemble-machine-learning explainable-ai ml-pipeline model-optimization advanced-ml
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Jan 17, 2025 - HTML
A simple regression analysis of house prices in USA with 11 features selected on MECE Framework
error-handling hyperparameter-optimization standardization bayesian-data-analysis hyperparameter-tuning ols-regression bias-variance normalization minmax-algorithm lasso-regression regression-analysis
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Sep 9, 2021 - HTML
A web application to see effect of C hyperparameter on classification boundary and marginal threshold in SVM.
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Dec 8, 2022 - HTML
Building and deploying a convolutional neural network (CNN) for accurately classifying landmarks from images using both custom CNNs and transfer learning techniques.
computer-vision deep-learning pytorch image-classification transfer-learning convolutional-neural-network hyperparameter-tuning data-augmentation model-evaluation landmark-recognition
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Jul 17, 2024 - HTML
Create a Deep Neural Network from Scratch using Python3.
deep-learning neural-network tensorflow python3 batch-normalization regularization transfer-learning hyperparameter-tuning bias-variance gradient-descent-algorithm adam-optimizer cost-function backward-propagation activation-functions
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Sep 20, 2020 - HTML
Optimization of Variational Quantum Eigensolver (VQE) circuits using gradient descent and parallel processing. Includes hyperparameter optimization through random search.
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Aug 4, 2024 - HTML
About FinReport is a research-oriented system designed to forecast stock earnings by analyzing both technical indicators and financial news. It leverages a multi-factor model implemented in PyTorch
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Apr 4, 2025 - HTML
This repository includes all the udacity deep learning project that i have worked on while i was taking this course
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Dec 10, 2020 - HTML
Project for Deep Learning Nanodegree, unit 4 (Recurrent Neural Networks).
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Mar 20, 2022 - HTML
A CNN model to identify images of plant seedlings.
batch-normalization regularization convolutional-neural-networks class-imbalance hyperparameter-tuning gaussian-blur early-stopping
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Jun 24, 2024 - HTML
The use of Machine Learning Regression models for predicting energy loads of buldings.
visualization machine-learning pipeline random-forest model numpy pandas seaborn supervised-learning xgboost matplotlib regression-models hyperparameter-tuning decision-tree-regression sckiit-learn gradient-boosting-regressor r2score
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Mar 13, 2023 - HTML
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