Topic: "model-tuning"
sjevelazco/flexsdm
Useful tools for constructing species distribution models
Language: R - Size: 104 MB - Last synced at: about 9 hours ago - Pushed at: 17 days ago - Stars: 51 - Forks: 7
PacktWorkshops/The-Deep-Learning-with-Keras-Workshop
An Interactive Approach to Understanding Deep Learning with Keras
Language: Jupyter Notebook - Size: 229 MB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 91
LastAncientOne/Data-Science
Utilizing Kaggle Data and Real-World Data for Data Science and Prediction in Python, R, Excel, Power BI, and Tableau.
Language: Jupyter Notebook - Size: 72 MB - Last synced at: 16 days ago - Pushed at: almost 2 years ago - Stars: 27 - Forks: 20
oskar-j/awesome-auto-ml
Awesome list of AutoML frameworks - curated by @oskar-j
Size: 25.4 KB - Last synced at: 1 day ago - Pushed at: about 2 years ago - Stars: 26 - Forks: 8
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.
Language: Python - Size: 47.2 MB - Last synced at: 10 months ago - Pushed at: about 1 year ago - Stars: 23 - Forks: 2
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.
Language: HTML - Size: 17 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 1
RevisorTeam/evolly
Evolutionary Neural Architecture Search framework that improves performance of your DL models
Language: Python - Size: 10.9 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0
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.
Language: Jupyter Notebook - Size: 2.46 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 1
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.
Language: Java - Size: 22.4 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 3
miraytopal/Marketing-Campaign-Machine-Learning
A Predictive Model for Marketing Campaigns
Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0
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.
Language: Jupyter Notebook - Size: 93.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
tohid-yousefi/Predicting_the_Energy_Efficiency_of_Buildings
In this section, predicting the energy efficiency of buildings with machine learning algorithms.
Language: Jupyter Notebook - Size: 191 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
Yahya-Ashraf-Mohamed/Finding-Donors-ML
Predicting potential donors using various machine learning models for Charity
Language: Jupyter Notebook - Size: 642 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 2.37 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
threnjen/king_county_housing
King County Housing Price Predictions is a start-to-finish regression project which concludes with a stacked model.
Language: Jupyter Notebook - Size: 23.2 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
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.
Language: Jupyter Notebook - Size: 8.27 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
yakupkaplan/Diabetes-Prediction-Model
In this project we will try to predict if the person has diabetes has or not.
Language: Python - Size: 137 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1
hooshvare/tt-ml-dl
پخش زنده پیرامون برخی اصطلاحات و مشکلات در یادگیری ماشین و یادگیری عمیق
Size: 141 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
mlatinov/Heart-Failure-Prediction
Heart Failure Mortality Prediction with R & Tidymodels Using R and Tidymodels, this project predicts heart failure mortality with models like Logistic Regression, Random Forest, GBMs, and SVM, identifying key risk factors for better clinical decisions
Size: 4.88 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
srhn45/iterative-hyperparameter-search
Basic iterative hyperparameter search algorithm for custom models and training loops.
Language: Python - Size: 7.81 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
gowri-malla216/Empowering-ML-Algorithms
Jupyter notebooks exploring various model enhancement techniques for XGBoost, Decision Trees, and Random Forest Regressors.
Language: Jupyter Notebook - Size: 2.53 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
Yaswanth1702/Salary-Prediction-in-the-AI-Job-Market
Language: R - Size: 1.05 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
RunnyWater/AI-chat-bot
A website with an AI model fine-tuned for the specific requirements provided by the University, allowing users to ask questions on various topics and receive quick responses.
Language: JavaScript - Size: 818 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
dynamicanupam/Hand_Gesture_Recognition_using_CNN-RNN
Build deep learning model for detecting hand gestures for Smart TVs using CNN and RNN
Language: Jupyter Notebook - Size: 342 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
shibasishb2/Feature-Engineering-Model-Tuning
The project was accomplished by employing supervised learning, ensemble modeling, and unsupervised learning techniques to build and train a prediction model to identify Pass/Fail yield of a particular process entity for a semiconductor manufacturing company.
Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0
sueszli/get-rect
recommender systems algorithms
Language: HTML - Size: 1.83 MB - Last synced at: 7 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
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.
Size: 0 Bytes - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
sgirolkar/AIML-Practice
Sameer Girolkar's AIML practice Notebooks
Language: Jupyter Notebook - Size: 19.7 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 1
Hsnmhmd/Vision
in this repo, you will find implementation of various classification models, data augmantation ,cnn designing and model reguralization
Language: Jupyter Notebook - Size: 94.1 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
SujayTalanki/Breast-Cancer-Classification-in-R
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.
Size: 607 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
kgaleziowski/recommender-systems-neural-network
Recommender Systems 2021/2022: Neural Network Recommenders Project
Language: HTML - Size: 6.17 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
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.
Language: Jupyter Notebook - Size: 102 KB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
kgaleziowski/recommender-systems-content-based
Recommender Systems 2021/2022: Content Based Recommenders Project
Language: HTML - Size: 3.21 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
KareemElozeiri/Finding-Donors-Using-ML
Predicting potential donors using various machine learning models, tuning and ensembling.
Language: Jupyter Notebook - Size: 587 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
lukeconibear/intro_ml
Short course: Introduction to Machine Learning
Size: 7.34 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
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. 🍷🍸🍹
Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
sls-mdr/rdc-model-comparison-donors-for-charity
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.
Language: Jupyter Notebook - Size: 740 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
gmnmedeiros/used_cars_model_improvement
This linear regression model tuning is an exercise for a Data Science Online Bootcamp.
Language: Jupyter Notebook - Size: 361 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
Ohara124c41/MLND-Dog_Breed_Classifier Fork of udacity/dog-project
Built an algorithm to identify canine breed given an image of a dog. If given image of a human, the algorithm identifies a resembling dog breed.
Language: Jupyter Notebook - Size: 56.2 MB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
Ohara124c41/MLND-Smartcab Fork of nd009/smartcab
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.
Language: Jupyter Notebook - Size: 839 KB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
JuzerShakir/Finding-Donors-CharityML 📦
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
Language: HTML - Size: 1.01 MB - Last synced at: 21 days ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1
miguelangelnieto/Predicting-Boston-Housing-Prices
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.
Language: HTML - Size: 216 KB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
miguelangelnieto/Train-a-Smartcab-to-Drive
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.
Language: HTML - Size: 318 KB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0
rebeccak1/smartcab
Train a Smartcab to Drive
Language: HTML - Size: 425 KB - Last synced at: 7 months ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0
rebeccak1/boston-housing
Predicting Boston Housing Prices
Language: Jupyter Notebook - Size: 109 KB - Last synced at: 7 months ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0