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.

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…

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

I worked through these machine learning algorithms to complete assignments in the European Center for Medium Range Weather Forecasting MOOC class

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 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.

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

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.

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.