Topic: model-tuning Goto Github
Some thing interesting about model-tuning
Some thing interesting about model-tuning
model-tuning,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 techniques.
User: ahad-al-seraihi
model-tuning,A project featuring use of statistical techniques for exploratory data analysis and data mining techniques for predicting the quality of wine. 🍷🍸🍹
User: akshataupadhye
model-tuning,Recommender systems with collaborative filtering created with Apache Mahout framework. The system uses a Music Recommendation dataset for research purposes as input, but you can train it and predict recommendations with any other dataset.
User: ansegura7
Home Page: https://ansegura7.github.io/RS_CF_LastFm/
model-tuning,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.
User: ansegura7
Home Page: https://ansegura7.github.io/RS_Surprise/
model-tuning,This Repository contains the projects which are part of Udacity Machine Learning Nanodegree
User: divyansh-sharma
Home Page: https://in.udacity.com/course/machine-learning-engineer-nanodegree--nd009/
model-tuning,This linear regression model tuning is an exercise for a Data Science Online Bootcamp.
User: gmnmedeiros
model-tuning,Apply supervised machine learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause
User: gouravaich
model-tuning,From a dataset provided by a leading commercial bank in Vietnam, profile customers of the bank and predict who are likely to churn.
User: haihapham
model-tuning,This is the historical data that covers sales of a supermarket, Walmart. In this work, I tried to explore the dataset and create a simple model to predict the sales (Weekly_Sales)
User: haihapham
model-tuning,In this project we're going to explore a workflow to easily compete in the Kaggle Titanic competition, using a pipeline of functions to reduce the number of dimensions you need to focus on.
User: henyerm
model-tuning,The folliwing ML project involves EDA analysis of Election Dataset, Data preparation for modelling, and prediction using ML models. Also Text Analysis on the inaugral corpora from nltk to analyse the most frequently used words in Presidents' Speeches.
User: honey28git
model-tuning,پخش زنده پیرامون برخی اصطلاحات و مشکلات در یادگیری ماشین و یادگیری عمیق
Organization: hooshvare
Home Page: https://hooshvare.com/1399/02/22/live-model-performance-tuning/
model-tuning,in this repo, you will find implementation of various classification models, data augmantation ,cnn designing and model reguralization
User: hsnmhmd
model-tuning,Over-fitting and model tuning
User: ibodumas
model-tuning,Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
User: juzershakir
Home Page: http://nbviewer.jupyter.org/github/JuzerShakir/Finding-Donors-CharityML/blob/master/report.ipynb
model-tuning,Predicting potential donors using various machine learning models, tuning and ensembling.
User: kareemelozeiri
model-tuning,Recommender Systems 2021/2022: Content Based Recommenders Project
User: kgaleziowski
model-tuning,Recommender Systems 2021/2022: Neural Network Recommenders Project
User: kgaleziowski
model-tuning,Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.
User: lastancientone
model-tuning,Udacity Data Scientist Nanodegree Project - Employ supervised algorithms to accurately model individuals income
User: lovpatel93
Home Page: https://archive.ics.uci.edu/ml/datasets/Census+Income
model-tuning,Short course: Introduction to Machine Learning
User: lukeconibear
Home Page: https://lukeconibear.github.io/intro_ml/
model-tuning,skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
Organization: medoidai
model-tuning,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.
User: miguelangelnieto
model-tuning,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.
User: miguelangelnieto
model-tuning,A Predictive Model for Marketing Campaigns
User: miraytopal
model-tuning,Comprehensive implementation of an Applied Machine Learning model for Diabetes Prediction. The project aims to leverage machine learning techniques to predict the likelihood of an individual developing diabetes based on various health and lifestyle factors.
User: nerudesu
model-tuning,Awesome list of AutoML frameworks - curated by @oskar-j
User: oskar-j
model-tuning,An Interactive Approach to Understanding Deep Learning with Keras
Organization: packtworkshops
model-tuning,TensorFlow and Keras are used for the construction and evaluation of Deep Learning models to predict success of companies that receive funding from a venture capital fund.
User: paocarvajal1912
model-tuning, I have developed a GitHub project on ex-showroom car price prediction. The project includes data cleaning, data modeling, and data selection for accurate predictions. It also involves feature selection, model evaluation, testing, and comparison to determine the most effective model.
User: ppriyanshu1404
model-tuning,Predicting Boston Housing Prices
User: rebeccak1
model-tuning,Train a Smartcab to Drive
User: rebeccak1
model-tuning,Evolutionary Neural Architecture Search framework that improves performance of your DL models
User: revisorteam
model-tuning,The data from this survey are used for a wide range of equipment design, sizing, and tariffing applications within the military and have many potential commercial, industrial, and academic applications.
User: senihberkay
model-tuning,Sameer Girolkar's AIML practice Notebooks
User: sgirolkar
model-tuning,Applying AI to medical use cases: Diagnoses of lung and brain disorders, Building risk models and survival estimators for heart disease via RF, and Using NLP to extract information from radiology reports.
User: shejz
model-tuning,Useful tools for constructing species distribution models
User: sjevelazco
Home Page: https://sjevelazco.github.io/flexsdm/
model-tuning,I used this notebook to discuss different supervised learning approaches. In the notebook you can find evaluations of a logistic regression, a K-Nearest-Neighboor, a Support Vector Machine, a Decision Tree and the ensemble methods Random Forest, AdaBoost and XGBoost Classifyer.
User: sls-mdr
model-tuning,18 Projects in AI & ML
User: snehavijayan175
Home Page: https://github.com/snehavijayan175/Great-Learning-Academic-Projects
model-tuning,recommender systems algorithms
User: sueszli
model-tuning,In this project, I use several different classification algorithms to predict whether a patient has breast cancer or not. This project uses K-fold cross validation, logistic regression, LDA, QDA, SVM, and model tuning techniques to achieve a 96% accuracy rate. This project was completed via R Markdown and LaTex.
User: sujaytalanki
model-tuning,Austin Housing Price Predictions is a start-to-finish regression project which includes image processing, NLP, Neural Networks, transfer learning, and model ensembling.
User: threnjen
model-tuning,King County Housing Price Predictions is a start-to-finish regression project which concludes with a stacked model.
User: threnjen
model-tuning,In this section, predicting the energy efficiency of buildings with machine learning algorithms.
User: tohid-yousefi
model-tuning,The Office of Foreign Labor Certification is facing a dramatic increase in work visa applications, but is hampered by a sluggish review system. It needs to improve the process by developing a way to quickly, accurately identify applications likely to be accepted or rejected so their processing may be prioritized.
User: tpurcell0122github
model-tuning,Predicting potential donors using various machine learning models for Charity
User: yahya-ashraf-mohamed
model-tuning,In this project we will try to predict if the person has diabetes has or not.
User: yakupkaplan
model-tuning,Machine learning prediction project, R studio, 2019.
User: yeeeseul
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