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

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.

Data analysis with Python to building and evaluating data models

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.

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

Predicting patient attendance at Bay Clinic using 'medicalcentre.csv'. Employing SVM, Decision Trees, and DNN models for accuracy, sensitivity, specificity evaluation, and ROC analysis. Part of a Data Science course in my master's program at the University of Ottawa 2023.

Employee retention predictive model development for Salifort Motors and Waze. This is a terminal project I did to earn the Google Advanced Data Analytics Professional Certificate.

This is data analysis powerful exam paper powered by Coursera. Which i solved using python simple way. Data Analysis, Data Visualization, Model Development, Data warangling, Model Evolution And Refinement most of the important topic are covered in this repo..

This project involves analyzing Sprocket Central Pty Ltd Data to help the marketing department unveil useful insights that could help them optimize resources allocation for targeted marketing

Food Prediction(Analytics Vidhya)