Prediction of creditworthiness for issuing a credit card

Se desarrolló un modelo de predicción de precios de autos con una precisión de 0,84 y un tiempo de predicción de 1 segundo,

Predicting Heart Disease with Python and Machine Learning. In this project, in the first part we will explore and prepare the data before starting the Machine Learning models. Let's try to predict which people have heart problems based on personal and health data. we use some Machine Learning models to make the predictions.

Predict housing prices using the Boston Housing Dataset. Covers data loading, cleaning, preprocessing, EDA, normalization, standardization, and regression models (Linear Regression, Decision Tree, Random Forest, Extra Trees). Evaluated with Mean Squared Error (MSE). Tech: Python, Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib.

Machine Learning model on highly imbalanced dataset for preventive maintenance by identifying potential failures before they occur, thereby reducing downtime and maintenance costs.

A fashion AI-based model capable of generating images from textual descriptions. The model should take natural language text as input and generate images that visually represent the given text. This text-to-image generation system bridges the gap between textual descriptions and visual content.

ML based project which uses various techniques to build a hybrid model for identifying brain tumour in MRI images

This Project is based on Machine Learning which uses Logistic Regression model for predicting whether the object detected by Submarine is Rock or Mine

This capstone project demonstrated the ability to collaborate on a presentation of data using Machine Learning techniques.

KnowGenius an AI Chatbot who's a General Knowledge Genius!

Brain Tumor Classification Using YOLOv8

This github repository contains practice assignments on Python !

This is an end-to-end project wehre I have used my friends images dataset for Image classification using logistic regreesion. It's applications may be used in Security and Surveillance, Criminal's classification & detection .

Film Junky Union, a new community for classic movie fans is developing a system to filter and categorize movie reviews, and its main mission is to train models to automatically detect negative reviews.

Given a set of attributes for an Individual, determine if a credit line should be extended to them. If so, what should the repayment terms be in business recommendations?

Robust credit risk model that go beyond traditional credit scoring methods in banks

Random forest algorithm can be used to analyze hotel booking data and predict booking behavior. This allows hotels to optimize pricing strategies, staffing, and identify potential cancellations for proactive guest communication.

* Basis EDA * Handling Null/Missing Values * Handling Outliers * Handling Skewness * Handling Categorical Features * Data Normalization and Scaling * Feature Engineering

📔 This repository delves into Logistic Regression for loan approval prediction at LoanTap. It covers data preprocessing, model development, evaluation metrics, and strategic business recommendations. Explore model optimization techniques such as confusion matrix, precision, recall, Roc curve and F1 score to effectively mitigate default risks.