Projects in Awesome Lists tagged with model-development
A curated list of projects in awesome lists tagged with model-development .
https://github.com/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.
apple-inc-aapl autoregressive-integrated-moving-average-arima data-preparation data-visualization exploratory-data-analysis linear-regression long-short-term-memory-lstm machine-learning model-development model-performance-comparison pandas-ta python stock-price-forecasting support-vector-machines-svm time-series-analysis
Last synced: 08 Apr 2025
https://github.com/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.
data-acquisition data-analysis data-science data-wrangling exploratory-data-analysis feature-engineering machine-learning model-development model-evaluation-and-refinement pandas
Last synced: 16 Mar 2025
https://github.com/jesse-sealand/skylite
Manage model artifacts throughout the model development process.
model-development modeling organization-tool python
Last synced: 13 May 2025
https://github.com/srivathsanp23/used-car-price-prediction
Used-Car_price prediction using XGBoost Regressor
data-preprocessing feature-engineering feature-extraction labelencoder machine-learning minmaxscaling model-development xgboost-regression
Last synced: 23 Mar 2025
https://github.com/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.
computer-vision deep-learning machine-learning model-development neural-network python3 yolo yolov8
Last synced: 15 Mar 2025
https://github.com/blacksujit/location-based-analysis
This project aims to perform restaurant location-based analysis using machine learning techniques. It involves predicting restaurant ratings based on user inputs and displaying restaurant locations on a map.
anaylsis deployement-strategy flask flask-application forms location-based location-based-analysis location-services machine-learning machine-learning-algorithms machine-learning-models ml ml-ops mlops model-development model-development-repository
Last synced: 24 Mar 2025
https://github.com/blacksujit/fake-news-detection
This repository contains a machine learning model built to detect fake news articles. The project leverages natural language processing techniques and a supervised learning approach to classify news articles as either real or fake based on their content.
backend-api classification deployement developement fake-news-detection machine-learning model-development models pkl-model transformer-architecture unique-approach
Last synced: 24 Mar 2025
https://github.com/gintuvedula/laptop-price-prediction-for-smarttech-co.
Built an interactive Machine Learning Model based on Gradio Application that predicts the price of laptops based on the configuration provided by the user.
data-processing eda feature-engineering gradio-interface hyperparameter-tuning model-development model-predictions python
Last synced: 09 Apr 2025
https://github.com/artzaragozagithub/ml--p2_predicting_loan_purchases
Anticipating Loan-Eligible Bank Customers with a High Probability of Successfully Purchasing a Bank Loan.
classifiers data-analytics data-preprocessing data-visualization decision-trees eda fine-tuning matplotlib model-checking model-development model-training-and-evaluation numpy-library pandas-library python-3 seaborn-plots sklearn-library
Last synced: 04 Mar 2025
https://github.com/payalmh5/emotionrecognition
Emotion Recognition in Speech: This project leverages advanced machine learning techniques to classify emotions from speech using the Toronto Emotional Speech Set (TESS). By extracting Mel-Frequency Cepstral Coefficients (MFCC) and utilizing an LSTM-based deep learning model, the project accurately identifies emotions like anger, happiness, and sad
data-science deep-learning emotion-recognition keras lstm mfcc model-development model-training
Last synced: 20 Jan 2025
https://github.com/vaxdata22/salifort-motors-and-waze-churn
Employee retention predictive model development for Salifort Motors and Waze. This is a terminal project I did to earn the Google Advanced Data Analytics Professional Certificate.
data-analytics data-visualization model-development predictive-analytics python statistical-analysis
Last synced: 05 Mar 2025
