anomaly-detection-for-steel-plate-defects

detect and classify faults or defects in steel plates using machine learning techniques.

basic-data-science-project

Data science is an exciting and rapidly evolving field that involves extracting insights and knowledge from data. This repository is designed to help beginners explore fundamental data science concepts and build their own basic projects.

basic-deep-learning

This repository serves as a starting point for beginners interested in exploring deep learning concepts and building their first deep learning models.

bigmart-sales-analysis-and-prediction

The aim of this data science project is to build a predictive model and find out the sales of each product at a particular store.

cnn-based-face-mask-detection

Convolutional Neural Network (CNN)-powered solution for accurate and efficient face mask detection. With the ongoing importance of mask-wearing in various settings, this deep learning model provides a robust and real-time solution to ensure compliance with mask mandates.

covid-19-cnn-grad-cam-visualization

Explore COVID-19 X-ray images using Convolutional Neural Networks (CNNs) and Grad-CAM visualization to understand model predictions. Enhance medical diagnosis through visual insights.

customer-churn-prediction

Telecom Churn Prediction is a data science project that focuses on predicting customer churn for a US mobile operator. Customer churn refers to the phenomenon where customers discontinue their services with a business, which can lead to financial losses.

data-analysis-collection

This repository serves as my personal data science diary, where I explore different concepts, techniques, and datasets. Each notebook represents a specific topic or project I'm working on.

data-science-portfolio

Welcome to my portfolio, where I showcase my journey as a passionate data science enthusiast. As a fresher in the field, I've immersed myself in various projects that exemplify my skills and dedication to the world of data science.

deep-learning-identify-devanagari-character

Discover a comprehensive exploration of Deep Learning techniques through a notebook. This guide demonstrates the creation of a robust model for accurate classification of Devanagari characters using neural networks. Enhance character recognition in diverse real-world applications.

earlydetect-cervical-cancer-screening-baseline

Exploring early detection of cervical cancer using ML. This repo contains a baseline model & preprocessing code. Join us in our data-driven fight against cervical cancer.

eda-for-hpa-single-cell-classification

EDA and visualizations for the single-cell classification task in the Human Protein Atlas (HPA) dataset. It offers insights into the dataset's structure, distribution, and potential challenges, aiding researchers in understanding and preparing the data for classification tasks.

employee-attrition-predictor

The Employee-Attrition-Predictor focuses on predicting employee attrition using machine learning techniques. It is likely inspired by the IBM HR Analytics Employee Attrition & Performance dataset, a widely-used dataset in the field of HR analytics and employee retention.

end_to_end-mlops-implementation

environmental-data-analysis

The project has collected data from approximately 497 unique locations across various regions in Rwanda, including farmlands, cities, and power plants. The data spans the years 2019 to 2021, which are included in the training dataset. The primary task of this project is to develop models

eurovision-network-insights-unveiling-connections

Exploration of the intricate connections within the Eurovision network. Through data analysis and visualization, this repository uncovers the fascinating relationships between countries, artists, and voting patterns in the Eurovision Song Contest. Gain insights into the network dynamics that shape this iconic competition.

exploring-european-football-trends-2012-2023

Dive into the captivating evolution of European football through the years. This repository contains a collection of data, analysis scripts, and visualizations that highlight the transformative trends, players, and strategies that have shaped the game from 2012 to 2023. Uncover the dynamic story of European football's journey.

exploring-wine-quality-eda-ml

Dive into the "Exploring_Wine_Quality_EDA_ML" repository—a hub of code and notebooks dedicated to unraveling the intricacies of wine quality using Exploratory Data Analysis (EDA) and Machine Learning (ML). Discover patterns, predict quality, and gain insights at the intersection of data and oenology. Cheers to understanding wine like never before!

flood-prediction-model

Using Machine Learning algorithms to predict the chances of Flood in the state of Kerala.

forecasting-stroke-risk_an-in-depth-analysis

Dive into stroke risk prediction with our focused repository. Discover code, data, and notebooks exploring comprehensive forecasting techniques. Ideal for healthcare pros, data enthusiasts, and ML practitioners. Uncover insights for preventive healthcare analytics.

fraud-detection-in-imbalanced-data-settings

Investigating and applying methods for identifying fraudulent activities within imbalanced datasets is the central goal of this GitHub repository. Detecting fraud is a crucial task applicable to diverse sectors, such as finance, e-commerce, and healthcare.

google-colab

Google Colab is a powerful platform for running and sharing Jupyter notebooks in the cloud. This repository serves as a log of my daily activities and coding projects, providing insights into various data science, machine learning, and deep learning topics.

kaggle-bash

This repository serves as my playground for exploring different data science concepts and experimenting with various datasets. The projects and scripts in this repository are diverse, ranging from data preprocessing and analysis to machine learning models and data visualization.

mental-health-treatment-decisions-using-dl

🌟 Enhance Mental Health Treatment Decisions with ML! 🧠💻 Explore predictive models & algorithms for personalized therapy recommendations. Join us in revolutionizing mental health care. #MentalHealthML

movie-recommendation-system

Predicting the success of a movie before its release and understanding the factors that contribute to its success is a fascinating challenge. Whether it's the budget, cast, crew, or genre, there are numerous variables that can influence a movie's performance at the box office and its critical acclaim.

noun-phrase-classification

Development and implementation of a Noun Phrase Classification system. Noun Phrase Classification is a natural language processing (NLP) task that involves categorizing noun phrases within text documents into predefined or custom-defined classes or categories.

predicting-cancellations-and-gaining-hotel-booking

Addressing hotel booking challenges with ML. We predict cancellations, optimize occupancy, and boost revenue by analyzing guest behavior and historical data. Our solution enhances profitability and guest satisfaction.

r-programming-in-data-science

This repository is dedicated to exploring the power of the R programming language in the field of data science. It contains a variety of projects, code snippets, and resources that demonstrate how R can be used for data analysis, visualization, statistical modeling, and more.

recurrent-neural-networks

This repo is for the LinkedIn Learning course Recurrent Neural Networks

room-occupancy-estimation

🏨 Data-driven room occupancy estimation for hotels. Boost revenue and resource allocation with accurate predictions. Explore predictive models, visualizations, and insights to optimize hotel operations. #DataScience #Hospitality #RevenueOptimization