model-tuning
There are 50 repositories under model-tuning topic.
sjevelazco/flexsdm
Useful tools for constructing species distribution models
PacktWorkshops/The-Deep-Learning-with-Keras-Workshop
An Interactive Approach to Understanding Deep Learning with Keras
LastAncientOne/Data-Science
Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.
medoidai/skrobot
skrobot is a Python module for designing, running and tracking Machine Learning experiments / tasks. It is built on top of scikit-learn framework.
oskar-j/awesome-auto-ml
Awesome list of AutoML frameworks - curated by @oskar-j
ansegura7/RS_Surprise
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.
miraytopal/Marketing-Campaign-Machine-Learning
A Predictive Model for Marketing Campaigns
ansegura7/RS_CF_LastFm
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.
paocarvajal1912/Venture_Funding_with_Deep_Learning
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.
tohid-yousefi/Predicting_the_Energy_Efficiency_of_Buildings
In this section, predicting the energy efficiency of buildings with machine learning algorithms.
RevisorTeam/evolly
Evolutionary Neural Architecture Search framework that improves performance of your DL models
ibodumas/fitting_tuning
Over-fitting and model tuning
threnjen/austin_housing_prices
Austin Housing Price Predictions is a start-to-finish regression project which includes image processing, NLP, Neural Networks, transfer learning, and model ensembling.
akshataupadhye/Predictive-model-using-physicochemical-attributes
A project featuring use of statistical techniques for exploratory data analysis and data mining techniques for predicting the quality of wine. 🍷🍸🍹
divyansh-sharma/UdacityMLNanodegree
This Repository contains the projects which are part of Udacity Machine Learning Nanodegree
gouravaich/finding-donors-for-charity
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
hooshvare/tt-ml-dl
پخش زنده پیرامون برخی اصطلاحات و مشکلات در یادگیری ماشین و یادگیری عمیق
lovpatel93/Udacity-Finding_Donors_for_Charity_ML
Udacity Data Scientist Nanodegree Project - Employ supervised algorithms to accurately model individuals income
senihberkay/US-Army-ANSUR-II
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.
shejz/AI-for-Medicine
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.
snehavijayan175/Great-Learning-Academic-Projects
18 Projects in AI & ML
threnjen/king_county_housing
King County Housing Price Predictions is a start-to-finish regression project which concludes with a stacked model.
Yahya-Ashraf-Mohamed/Finding-Donors-ML
Predicting potential donors using various machine learning models for Charity
yakupkaplan/Diabetes-Prediction-Model
In this project we will try to predict if the person has diabetes has or not.
haihapham/Bank-Customer-Churn
From a dataset provided by a leading commercial bank in Vietnam, profile customers of the bank and predict who are likely to churn.
haihapham/Supermarket-Sales-Analysis
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)
HenyerM/Creating-a-Kaggle-Workflow
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.
Honey28Git/Machine-Learning
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.
Hsnmhmd/Vision
in this repo, you will find implementation of various classification models, data augmantation ,cnn designing and model reguralization
kgaleziowski/recommender-systems-content-based
Recommender Systems 2021/2022: Content Based Recommenders Project
ppriyanshu1404/India-s-Ex-Showroom-Price-Prediction
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.
SujayTalanki/BreastCancerClassificationInR
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.
tpurcell0122github/EasyVisa
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.
kgaleziowski/recommender-systems-neural-network
Recommender Systems 2021/2022: Neural Network Recommenders Project
nerudesu/diabetes-prediction
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.
sueszli/get-rect
recommender systems algorithms