pooryas98/TOC_paper

A configurable Python framework for comparing time series forecasting models (SARIMA, Prophet, RNN, LSTM) with evaluation & visualization.

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kanikaarawat/CMFD_using_OptimizedCNN

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Niteshchawla/Logistics-NN-Regression

The case study is about India's Largest Marketplace for Intra-City Logistics. This dataset has the required data to train a regression model that will do the delivery time estimation, based on all those features.

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spockoo/PyLegend

A fusion between Python and legend, a name that suggests that the code is both modern and mythical. 3 months of work, with tons of errors to establish the calculations necessary for the superposition, I want to publish my work and improve it and share it under Apache 2.0 License. Designed to work with NBminer!

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yogaardiansyah/xssML

XSS Attack Machine Learning detection

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Amarilli/Neural-Network-Model

binary classifier that utilizes advanced machine learning algorithms and neural networks to accurately predict the success rate of funding applicants

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RajKulk16/Google-SVHN-Prediction-with-CNN-and-Transfer-Learning

Google SVHN Prediction using Keras Tuned CNN model and Transfer Learning

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RajKulk16/Exoplanet-in-DeepSpace

DeepNet tuned with Kerastuner added with ensemble of LGBM, HistGBM

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giuliots95/Time_series_forecast_with_LSTM_network

This repository contains the implementation of a recurrent neural network (LSTM from keras library) with the purpose of forecasting target time series, given the targets historical records and covariates. The project uses a toy data set, while focusing on the data transformation tasks (pandas dataframes to 3D numpy arrays required by recurrent networks) and on the hyperparameters tuning tasks, taking advantage of keras_tuner package.

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Er-Devanshu/Patient-Survival-prediction

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vsnupoudel/FlaskAppForCsv

End to End implementation for a Flask App in Google Kubernetes Engine. The Notebook has EDA, model selection and training for a unclean structured text data. DNN and Combination of PCA and RandomForest is used for classification.

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dD2405/Traffic_Sign_Classifier-with-Streamlit

Built a image classification model that classifies images into one of the 43 classes from the German Traffic sign dataset.

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UditSharma9999/hyperparameter_tuning_using_tensorflow

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anishjohnson/keras_tuner

This is simple example for using Keras Tuner for selecting the number of hidden layers and hidden neurons.

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dwijendra626/Customer-Churn

To predict customer churn rate using Artificial Neural Network using TensorFlow and Keras implemented in Python.

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ChuaCheowHuan/basic_ML

This repository contains simple usage examples for basic machine learning libraries. These notebooks are tested in Colab.

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nayan2112/Deep_Learning_projects

Portfolio of Deep Learning projects

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