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Search results for jupyter notebook hyperparameter tuning
hyperparameter-tuning
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jupyter-notebook
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29 search results found
Forecasting
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2,540
Time Series Forecasting Best Practices & Examples
Coursera Deep Learning Specialization
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2,459
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Hyperparameter Optimization Of Machine Learning Algorithms
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1,025
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Automl Implementation For Static And Dynamic Data Analytics
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443
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Optunity
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343
optimization routines for hyperparameter tuning
Mango
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289
Parallel Hyperparameter Tuning in Python
Deeplearning.ai Notes
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271
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
The Data Science Workshop
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156
A New, Interactive Approach to Learning Data Science
Ds Ml Public
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49
Python Scripts and Jupyter Notebooks
The Deep Learning With Keras Workshop
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40
An Interactive Approach to Understanding Deep Learning with Keras
Edaspy
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30
Estimation of Distribution algorithms Python package
Lipo
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20
Global, derivative-free optimization for hyperparameter tuning
Hyperparameters Optimization
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14
Hyperparameters-Optimization
Neuralnets
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11
🤖 bare-bones implementation of a neural network with numpy
Neural Networks And Deep Learning
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9
Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai
Deeplearning.ai Deep Learning Specialization
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9
This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI
Timeseriesgan
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9
GANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Databricks
Pytorch Rnn Tutorial
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9
PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting
Ulmfit_es
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8
Coursera Deep Learning Specialization
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7
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks..
Data Science Portfolio
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7
Data Science Portfolio created for academic and personal projects.
Predicting Indian Stocks Price With Stacked Lstm
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6
Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.
Amazon Alexa Reviews
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6
Using Natural Language Processing, Data Visualizations and Classification Algorithms of Machine Learning
Scalable Hpo Pybay
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5
This repositorty will contain the code and slides for PyBay2020 talk: Scalable Hyper-parameter Optimization using RAPIDS and AWS
Titanic
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5
Jupyter Notebook for Data Science Presentation
Bayesian Optimization
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5
Cakeopt
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5
CakeOpt is a Bayesian optimisation package written in Python.
Bert_imdb
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5
A repo for NLP model Bert.
Personal Bank Loan Modeling Classification Analysis
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5
Supervised Machine Learning Analysis Using Classification Models
Mithridates
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5
Measure and Boost Backdoor Robustness
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