Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!
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Updated
Nov 6, 2024 - Jupyter Notebook
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.
This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price
Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.
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.
Showcase of MLflow capabilities
Here you will find 10+ data analysis projects that showcase my skills and experience in data analytics.
Classification Model to predict whether the customer has claimed their insurance or not.
Develop a deep learning model capable of predicting traffic flow in urban environments. The model will utilize historical traffic data, weather conditions, and road configurations to forecast traffic patterns. This information can be invaluable for traffic management systems, helping to optimize traffic signals and reduce congestion, ultimately.
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.
AI powered Image-Based application for detecting and predicting disease and abnormalities.
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.
Loan_Default_Prediction
I worked through these machine learning algorithms to complete assignments in the European Center for Medium Range Weather Forecasting MOOC class
Flask for training/testing Watson, FastText, Gensen Embeddings and hDBScan. Plus it supports MLFlow for model info logging.
This repo features Jupyter Notebook labs for learning data analysis with Python. Explore data acquisition, wrangling, visualization, modeling, and evaluation. Enhance your skills in Python data analysis.
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.
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