Bitcoin price fluctuation prediction model using headline sentiment scores from top newpaper articles. This is the repository that includes all the data and python scripts used while creating the project.

Logistic_reg: Successfully completed the capstone project on Machine Learning algorithm.

This repository contains all data science projects taken in the IBM data science course.

Mobile application for document classification

Data analysis with Python to building and evaluating data models

Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.

This repository contains a machine learning model built to detect fake news articles. The project leverages natural language processing techniques and a supervised learning approach to classify news articles as either real or fake based on their content.

Built an interactive Machine Learning Model based on Gradio Application that predicts the price of laptops based on the configuration provided by the user.

BERKELEY HAAS AI ML: Capstone Project | Automated system that extracts key features and sentiment from product reviews using NLP and ML techniques and provide insights through interactive dashboard.

This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!

Developing, Evaluating, and Comparing different Classification Models on Heart Failure Prediction Dataset

Praticando o desenvolvimento de modelos, tentando prever o atraso de chegada de um voo usando nosso conjunto de dados.

This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price

A data science project made to develop a predictive model for estimating house prices in King County,

Predicting if the first stage of the SpaceX Falcon 9 rocket will land successfully. SpaceX advertises Falcon 9 rocket launches on its website, with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage.

An analysis of the dataset of the bank's marketing campaign data to help the bank optimize its operations and strategies to attract more customers to subscribe to term deposits.

U-M MADS: Milestone Project | ML-powered system that detects and classifies racial bias in news articles using supervised and unsupervised learning techniques, to provide comprehensive bias analysis.

IBM Data Science Professional Certification

Emotion Recognition in Speech: This project leverages advanced machine learning techniques to classify emotions from speech using the Toronto Emotional Speech Set (TESS). By extracting Mel-Frequency Cepstral Coefficients (MFCC) and utilizing an LSTM-based deep learning model, the project accurately identifies emotions like anger, happiness, and sad

We developed several models that predict the price of the car using the variables or features. This is just an estimate but should give us an objective idea of how much the car should cost. In Data Analytics, we often use Model Development to help us predict future observations from the data we have. A Model helps us understand the exact relatio…