This project collects sensor data (accelerometer and gyroscope) from various activities using an Arduino Nano 33 IoT and classifies them with machine learning.
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Updated
May 23, 2024 - Jupyter Notebook
This project collects sensor data (accelerometer and gyroscope) from various activities using an Arduino Nano 33 IoT and classifies them with machine learning.
In today's financial market,news sentiment plays a crucial role in shaping investor behavior and influencing stock prices. By analyzing the sentiment behind stock-related news articles, investors can gain valuable insights to make informed trading decisions.We have performed sentiment analysis of the twitter data based on a whole day to analyse it.
R markdown files employed in my research
Using K-Nearest Neighbour (KNN) and Support Machine Vector (SVM) to compare analysis on a subset of the CMU Pose, Illumination, and Expression (PIE) Dataset.
Investment Analysis and Asset Mgmt, Time Series Analysis & Forecasting, Machine Learning in Finance & Causal Inference Methods
Undergraduate Thesis - Decision Support System
Forecasting BTC Prices with a Linear Model (Linear Regression), Non-Linear Model (Non-Linear SVM), and ARIMA Model.
PRODIGY INTERNSHIP - MACHINE LEARNING During my internship at Prodigy Infotech, I tackled diverse machine learning projects: House Price Prediction with linear regression. Customer Segmentation via K-means clustering. Cat vs Dog classification using SVM. Hand Gesture Recognition with CNNs. Food Recognition and calorie estimation from images.
Cette application utilise l'apprentissage automatique pour reconnaître et classifier les espèces de fleurs à partir d'images, fournissant des informations détaillées pour faciliter l'identification des plantes.
Data Analysis and Machine Learning Techniques for Liver Disease Prediction
Implementations of various supervised and unsupervised machine learning algorithms
This project presents an SVM model trained to distinguish between Real human voices and Replayed human voice.
IBM Data Science Capstone Project from Coursera
Morse code to text converter by detecting eye blink on the basis of EAR threshold using RANDOMFORESTCLASSIFIER model and HOG+SVM model
Wine Quality Prediction Analysis | Machine Learning | Python
Face Classification by SVM on Eigenfaces
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