Project with examples of different recommender systems created with the Surprise framework. Different algorithms (with a collaborative filtering approach) are explored, such as KNN or SVD.
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Jul 22, 2020 - HTML
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model-tuning
Here are 9 public repositories matching this topic...
This Repository contains the projects which are part of Udacity Machine Learning Nanodegree
machine-learning reinforcement-learning deep-learning clustering optimization scikit-learn q-learning statistical-analysis pca-analysis keras-tensorflow vcg model-tuning
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Sep 6, 2018 - HTML
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
python udacity pandas donations supervised-learning charity adaboost letters gradient-boosting-classifier machine-learning-nanodegree scikitlearn-machine-learning machine-learning-engineering machine-learning-tutorials supervised-learning-algorithms model-tuning gridsearchcv finding-donors sgd-classifier charityml
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Oct 1, 2018 - HTML
Recommender Systems 2021/2022: Content Based Recommenders Project
python data-science random-forest numpy linear-regression pandas feature-extraction hyperopt evaluation-metrics user-feature svr content-based-recommendation xgboost-model model-tuning amazon-recommender
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May 7, 2022 - HTML
Train a Smartcab to Drive
python reinforcement-learning optimization modeling q-learning udacity-machine-learning-nanodegree model-tuning
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Jul 23, 2017 - HTML
Applied reinforcement learning to build a simulated vehicle navigation agent. This project involved modeling a complex control problem in terms of limited available inputs, and designing a scheme to automatically learn an optimal driving strategy based on rewards and penalties.
python statistics reinforcement-learning calculus algebra optimization modeling q-learning model-tuning
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Feb 1, 2018 - HTML
Recommender Systems 2021/2022: Neural Network Recommenders Project
python data-science tensorflow numpy pandas pytorch hyperopt evaluation-metrics adam-optimizer model-tuning sgd-optimizer mlp-model amazon-recommender netflix-recommender gmf-matrix neumf-model asgd-optimizer
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Jun 29, 2022 - HTML
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
cross-validation statistical-analysis variance bias model-complexity overfitting model-tuning underfitting learning-curves metric-performance
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Feb 1, 2018 - HTML
I built a Python application that trained an image classifier on an Oxford flower dataset to recognize different species of flowers, and then predicted new flower images using the trained model. This project is a starting point in the world of deep learning and neural networks, implemented here using Keras, TensorFlow and transfer learning techn…
python deep-learning neural-network tensorflow keras jupyter-notebook image-processing prediction image-classification transfer-learning udacity-machine-learning-nanodegree flower-classification model-training model-tuning comand-line
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Jul 29, 2021 - HTML
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