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

Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!

Software Development Kit (SDK) for the Intel® Geti™ platform for Computer Vision AI model training.

Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.

Showcase of MLflow capabilities

Explore machine learning projects that include supervised, unsupervised, and reinforcement learning. These projects cover classification, regression, natural language processing, time-series analysis, explainable AI, and image segmentation.

A multi-criteria decision analysis (MCDA)-based composite proxy target variable generation technique for business decision modeling that uses relevant features or independent variables conceptually related to the intended target variable.

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

AI powered Image-Based application for detecting and predicting disease and abnormalities.

Loan_Default_Prediction

In this series of notebooks, we will dive into each step of the data analysis process of a data set with some information about a list of cars and several attibutes, including their prices. So essentially we will develop a model to predict cars price.

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

Here you will find 10+ data analysis projects that showcase my skills and experience in data analytics.

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

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