bhargav_borah's Projects
A website ( should we say paradise? ) for all the Anime hunters out there!
An artificial neural network to predict if a certain bank customer would leave
🏠 Bengaluru Housing Price Prediction 📈 Welcome to the Bengaluru Housing Price Prediction repository! This project utilizes the power of multivariate linear regression, cutting-edge data visualization techniques, and advanced multidimensionality reduction to accurately predict housing prices in the vibrant city of Bengaluru.
Config files for my GitHub profile.
A machine learning model to predict the outlet sales on the basis of a range of features, using XGBRegressor. The data preprocessing step involves label encoding as well as dealing with missing values.
This repository contains a deep learning solution for classifying bird species based on audio recordings. The project utilizes TensorFlow, a popular open-source machine learning library, to build and train a neural network for accurate bird species identification.
EDA on Brand Laptops Dataset on Kaggle
This repository contains a neural network implementation designed to detect breast cancer using machine learning techniques. The neural network model is trained on a dataset specifically curated for breast cancer detection, which includes a variety of features and corresponding labels indicating the presence or absence of breast cancer.
This GitHub repository contains a machine learning model for breast cancer prediction based on the Breast Cancer Wisconsin (Diagnostic) dataset. The model utilizes the logistic regression algorithm to make accurate predictions.
Calculator on a webpage, made with HTML, CSS and JavaScript
A machine learning model to predict the price of property. It utilizes the XGBRegressor, trained on California Housing Prices
This repository contains a machine learning model built using XGBoost Regression to predict the number of calories burnt based on various input features.
Implementation of machine learning model which utilizes linear regression and Lasso regression algorithms to estimate car values based on various features.
Credit card fraud can cause significant financial losses and pose a threat to individuals and businesses alike. This repository focuses on implementing an effective fraud detection system that leverages the power of logistic regression, a popular machine learning algorithm.
CatDogClassifier - a CNN model for image classification of cats and dogs.
Work in progress: Neural networks to classify the 10 classes in CIFAR10 dataset
Creation of a custom dataset from the Food101 dataset.
This repository contains an implementation of customer segmentation using K-means clustering. Customer segmentation is a valuable technique in marketing and customer analytics that helps businesses understand their customer base better and make data-driven decisions.
Notebooks for the videos in the "Deep Learning 101" playlist
It is a powerful machine learning project that leverages logistic regression to identify and classify fake news articles. By analyzing various textual features and training on a large dataset, it provides accurate predictions to help users distinguish between reliable and deceptive news sources.
A machine learning model to detect diabetes, implemented using Support Vector Machine
Repo for code I have written while practicing DSA.
This repo is home to my practice notebook(s) for exploratory data analysis on the Zillow Prize problem on Kaggle.