FarzadNekouee / Gold-Price-Prediction-LSTMLinks
Harnessing LSTM for gold price prediction from 2013-2022. Trained on 9 years of data, the model predicts prices for 2022. The repo contains detailed explorations, visualizations, and insights, achieving high accuracy evaluated by RMSE.
☆22Updated 2 years ago
Alternatives and similar repositories for Gold-Price-Prediction-LSTM
Users that are interested in Gold-Price-Prediction-LSTM are comparing it to the libraries listed below
Sorting:
- Predictive modeling of hotel booking cancellations. Handling complex data preprocessing, feature engineering, and noise. Evaluating model…☆13Updated 2 years ago
- In this repo, we analyze a dataset of heart patient metrics to build a model identifying heart disease risks. We prioritize high recall f…☆22Updated 2 years ago
- Classification project to pinpoint potential loan customers from an imbalanced dataset. Emphasizes on penalized and tree-based algorithms…☆12Updated 2 years ago
- Dive into polynomial regression and its assumptions in car price prediction. This repo explores Linear, Polynomial, Ridge, Lasso, and Ela…☆13Updated 2 years ago
- Launching a mobile company to rival giants like Apple & Samsung, we leverage sales data to discern price ranges for mobiles based on feat…☆11Updated 2 years ago
- An extensive exploration and preprocessing of Flight data. The project encompasses detailed EDA (Univariate, Bivariate, and Multivariate …☆13Updated 2 years ago
- An exploration of CIFAR-10 image classification using a CNN model built with Keras. This repository includes training, evaluation, and ex…☆20Updated 2 years ago
- This project leverages DCGANs and the CelebA dataset to create photorealistic, synthetic human faces. The DCGAN model crafts new faces th…☆11Updated 2 years ago
- Telegram IMDb Bot: Python-based bot for Telegram. Features include movie search via IMDb API, watchlist management, and movie details ret…☆24Updated 2 years ago
- Use of categorical algorithms☆15Updated 3 years ago
- Data Science Tutorials with Python☆14Updated 3 years ago
- An urban traffic violation detection system using classical image processing techniques. Features include real-time traffic light recogni…☆29Updated 2 years ago
- The project aims to predict employee resignations using XGBoost and CatBoost regressors. It involves extensive EDA, data preprocessing, m…☆13Updated 2 years ago
- ☆10Updated 2 years ago
- ☆20Updated 2 years ago
- Using Python☆17Updated 3 years ago
- This project is related to customer segmentation for loans☆11Updated 2 years ago
- Unsupervised Machine Learning Analysis Using Clustering Model☆15Updated 2 years ago
- Solver for easy Sudoku☆17Updated 3 years ago
- Data Science☆10Updated 2 years ago
- In this repository by using tensorflow, I build, train and evaluate LSTM models for predicting Google stock prices☆10Updated 2 years ago
- ☆15Updated 3 years ago
- ☆15Updated 2 years ago
- Customer Segmentation Using Unsupervised Machine Learning Algorithms☆13Updated 2 years ago
- Reliable MRI brain tumor detection for various types including pituitary, meningioma, glioma. Focused on high accuracy in diverse image q…☆13Updated 2 years ago
- ☆19Updated 3 years ago
- In this project, we harness ResNet50 for garbage classification. Using a dataset pivotal for automating waste segregation, we address cha…☆13Updated 2 years ago
- ☆10Updated 2 years ago
- Supervised Machine Learning Analysis Using Classification Models☆15Updated 2 years ago
- Analyzing and transforming a UK-based retail dataset (2010-2011) into a customer-centric format for customer segmentation using K-means c…☆46Updated 2 years ago