-sparkpd---sparking-insights-into-parkinson-s-disease

amazon-review

Sentiment Analysis of Amazon Customers Reviews in 2 different ways and Their Comparison and Extra tip for faster analysis

artificial-intelligence

banking-data-set-exploratory-analysis

This analysis utilizes a banking dataset from a Portuguese institution, focusing on direct marketing campaigns (phone calls) conducted between May 2008 and November 2010. The objective is to predict whether clients will subscribe to a term deposit or not.

basic-code-2.0

basic-codes

bmi-from-face-images

breast-cancer-metastatic-diagnosis-prediction

canadian-institute-for-advanced-research-neural-network-analysis

cancer-sense

This repository features a machine learning model for predicting breast cancer presence using the sklearn dataset load_breast_cancer. It employs Random Forest, SVM, and XGBoost algorithms, covering data preprocessing, exploratory data analysis (EDA), feature selection, and oversampling with SMOTE.

cats-dogs-classification-svm

This project uses a Support Vector Machine (SVM) to classify images of cats and dogs from the Kaggle dataset. The goal is to develop a model that accurately distinguishes between cat and dog images.

cllg_prac

computer-graphics-

criminal-management-system

customers-clustering-with-k-means

Customers-Clustering-With-K-Means is a project that uses the K-Means clustering algorithm to group customers based on purchasing behavior and other relevant features. This helps businesses better understand customer segments and tailor their marketing strategies effectively.

data-augmentation

Oh, you don't have enough data for your fancy machine learning model? Boo-hoo. Try data augmentation! It's like adding more spice to your bland training dataset without actually doing any real work. 🎉

data-image-processing

dav

digital-marketing-exploratory-analysis

offers insights into online advertising data collection and analysis sourced from various platforms, including LinkedIn and Wipro.

document-chatbot

ntroducing Document Chatbot: your go-to for extracting pearls of wisdom from PDFs! Upload your docs, fire away questions, and marvel as our AI spills its digital guts to enlighten you.

eda-adult-income

This project conducts an Exploratory Data Analysis (EDA) on the Adult Income Dataset to uncover insights and patterns. The goal is to understand the relationships between various features and the target variable, income.

energy-production

The project leverages historical data to understand the underlying patterns and trends in energy production, enabling more efficient and reliable energy planning and decision-making. The primary goal is to enhance energy management by developing models that can accurately forecast future energy production.

food-recognition

The Food-101 dataset is a diverse collection of 101,000 images across 101 food categories, with 1,000 images per class. Widely used in food recognition research, it serves as a benchmark for developing and testing computer vision algorithms, aiding advancements in dietary monitoring and AI applications.

gender-prediction-fuzzy-system

This project showcases a basic implementation of gender classification using fuzzy logic in Python.

hand-gesture-recoginition

This project uses a Convolutional Neural Network (CNN) with TensorFlow and Keras to classify gesture images from the Kaggle dataset. The objective is to develop a model that accurately identifies different hand gestures.

hand-tracking-mediapipe-opencv

This repository features Python scripts using OpenCV and MediaPipe for real-time hand tracking and gesture recognition. It accurately detects and tracks 21 hand landmarks, aiding spatial analysis. With built-in FPS measurement, it ensures optimal performance for applications in research, interactive systems, and diverse projects leveraging tracking

heap-based-optimization-energy_consumption-ensemble

🏢 Optimized Building Energy Consumption Prediction with Heap-Based Optimization Ensemble ML Algorithm 📊

housing-market-insight

House Price Predictor is a machine learning project designed to predict house prices based on square footage, number of bedrooms, and bathrooms. It employs a linear regression model to provide accurate price estimations.

human-image-capturing

Here we are Using OpenCv for image Recogination and identifying Human Face Using haarcascades frontal face model

image-similarity-check-using-fuzzy-system

This project implements a fuzzy logic-based approach for comparing images, offering a flexible framework to assess similarity between two images. It considers features like intensity difference and edge similarity, accommodating scenarios where precise mathematical models may not be applicable.