model-development
There are 30 repositories under model-development topic.
capitalone/rubicon-ml
Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!
openvinotoolkit/geti-sdk
Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.
sanithps98/Automobile-Dataset-Analysis
This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price
labrijisaad/Prediction-du-cours-de-Bourse
Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.
spoluan/A-Collection-of-My-Machine-Learning-Projects
Explore my ML portfolio | Pushing the boundaries of ML | Venturing into supervised, unsupervised, and reinforcement learning | Encompassing classification, regression, NLP, time-series analysis, explainable AI, and image segmentation.
gershonc/mlflow_showcase
Showcase of MLflow capabilities
amal2121/Classification
Classification Model to predict whether the customer has claimed their insurance or not.
abhijha3011/Loan_Default_Prediction
Loan_Default_Prediction
alvarojob20/Automobile-Data-Set-with-Python
In this series of notebooks, we will dive into each step of the data analysis process of a data set with some information about a list of cars and several attibutes, including their prices. So essentially we will develop a model to predict cars price.
braimahm/Machine-Learning-Applications-in-Weather-and-Climate-Forecasting
I worked through these machine learning algorithms to complete assignments in the European Center for Medium Range Weather Forecasting MOOC class
c-qe/Project--Analysing-House-Prices-in-King-County-Washington-United-States-
@DataAnalysis @Python @Coursera @IBM
mazba-ahamad/Generating-Composite-Proxy-Target-Variable-for-Machine-Learning-Models-of-Business-Decisions
A multi-criteria decision analysis (MCDA)-based composite proxy target variable generation technique for business decision modeling that uses relevant features or independent variables conceptually related to the intended target variable.
nafisalawalidris/Data-Analysis-with-Python
This repo features Jupyter Notebook labs for learning data analysis with Python. Explore data acquisition, wrangling, visualization, modeling, and evaluation. Enhance your skills in Python data analysis.
najafmurtaza/Developing-Machine-Learning-Models-in-Flask
Flask for training/testing Watson, FastText, Gensen Embeddings and hDBScan. Plus it supports MLFlow for model info logging.
Aayush-Basnet/Data-Analysis-with-Python
Data analysis with Python to building and evaluating data models
ahmedmbutt/Heart-Failure-Prediction
Developing, Evaluating, and Comparing different Classification Models on Heart Failure Prediction Dataset
haihapham/Bank-Marketing-Campaign
An analysis of the dataset of the bank's marketing campaign data to help the bank optimize its operations and strategies to attract more customers to subscribe to term deposits.
KosiMbachuIgwe/KPMG-Data-Analysis-Internship
This project involves analyzing Sprocket Central Pty Ltd Data to help the marketing department unveil useful insights that could help them optimize resources allocation for targeted marketing
nalan-b/IBM-Data-Science-Capstone-Project
Predicting if the first stage of the SpaceX Falcon 9 rocket will land successfully. SpaceX advertises Falcon 9 rocket launches on its website, with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage.
shubhambhatia2103/Automobile-Dataset-Analysis
This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price
SourishW/ED-05-Data-Analysis-With-Python
IBM Data Science Professional Certification
ssmore98/Analyzing-Data-with-Python
This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!
Aayush-Basnet/Customer-Churn-Prediction
Customer's Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the Banking industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer.
Abhilashayagyaseni/KPMG-Data-Analysis-Project
Generate valuable insights from customer and transactions data.
habiburrahman-mu/model-development
We developed several models that predict the price of the car using the variables or features. This is just an estimate but should give us an objective idea of how much the car should cost. In Data Analytics, we often use Model Development to help us predict future observations from the data we have. A Model helps us understand the exact relationship between different variables and how these variables are used to predict the result.
khondokerjahid/Solved-House-Sales-King-County
This is data analysis powerful exam paper powered by Coursera. Which i solved using python simple way. Data Analysis, Data Visualization, Model Development, Data warangling, Model Evolution And Refinement most of the important topic are covered in this repo..
kumardeepak0/Food-Dataset
Food Prediction(Analytics Vidhya)
RATHOD-SHUBHAM/Yolov8_OD
Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.
RimTouny/Predictive-Analysis-for-Patient-Appointment-Attendance-in-a-Medical-Center-using-R
Predicting patient attendance at Bay Clinic using 'medicalcentre.csv'. Employing SVM, Decision Trees, and DNN models for accuracy, sensitivity, specificity evaluation, and ROC analysis. Part of a Data Science course in my master's program at the University of Ottawa 2023.