minakdr's repositories
Regression-in-R-to-Analyze-Health-Data
This project predicts insurance charges using a linear regression model. Key factors include age, sex, BMI, children, smoking status, and region.
Car-price-prediction-using-Stacking-ensemble-modeling-technique
This project aims to predict the selling prices of used cars based on various features such as brand, model year, mileage, and engine specifications.using-Stacking-ensemble-modeling-technique
Doctor-s-Appointment-No-Show-Analysis-and-Prediction
This project aims to analyze and predict whether patients will show up for their doctor's appointments. The goal is to identify patterns that could help predict no-shows with logistic regression and decision tree .And address class imbalance in the dataset using SMOT
Forest-Fire-Analysis-with-Linear-Regression-and-Random-Forest-Modeling
This project focuses on analyzing a forest fire dataset through exploratory data analysis, feature engineering, and predictive modeling using both linear regression and random forest algorithms. The dataset includes details about forest fires such as spatial coordinates, month, day, weather conditions, and the area burned
Introductory-Algorithm-Exercises-For-1st-Year-Students
A collection of exercises focused on fundamental algorithms, designed for first-year computer science students. These exercises cover essential topics such as loops, recursion, control structures, and problem-solving techniques to build a strong foundation in algorithms
Rotten-Tomatoes-Certified-Fresh-Movies-Dataset-September-2024-Edition-
Rotten Tomatoes Movies Dataset by Genre (Updated: September 9, 2024) This dataset contains 947 entries of movies from Rotten Tomatoes, categorized by genre. It includes: Title: Movie name Audience Score: Viewer rating percentage Critic Score: Critic rating percentage Genre: Movie genre Ideal for analyzing trends and ratings across various genres.
SEND-homepage
This is my take on the 10mins webpage challenge , you can find it on youtube via this link : https://www.youtube.com/watch?v=VegDvRLVlOI&ab_channel=BrianDesign
Sky-Image-Classification-using-Random-Forest-and-feature-extraction-using-Img2Vec
This Jupyter notebook implements a machine learning-based image classification model to classify images of skies. It demonstrates the process of loading image data, extracting features using the img2vec library, training a Random Forest model for classification, and making predictions. The model achieves an accuracy of 96%.
Fine-Tuning-BART-for-Chatbot-Question-Answering-on-SQuAD
This project fine-tunes the BART language model on the SQuAD dataset to enhance chatbot performance in answering questions accurately and contextual
Semantic-Document-Retrieval-Using-Latent-Semantic-Indexing-LSI-
This project showcases an advanced yet accessible approach to organizing and retrieving information from large document collections, using Latent Semantic Indexing (LSI). It processes text data, turning it into a structured format that improves document retrieval by uncovering hidden themes and relationships.
Some-Sorting-Algorithms-in-C-and-Python
This repository contains sorting algorithms in C and Python , this includes selection sort , insertion sort , bubble sort ....