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 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

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.

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

End-to-end Machine Learning Operations (MLOps) workflows, including model development, versioning, CI/CD pipelines, deployment, monitoring, and automation. Built as part of my MLOps course to demonstrate real-world practices for managing production-grade ML systems.

Very simple Python logger for machine learning experiments

Classification Model to predict whether the customer has claimed their insurance or not.

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

Loan_Default_Prediction

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.

🔬 Flask API for the Neuro Gambling Scanner project – Predicts gambling addiction risk using machine learning and returns personalized interventions.

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

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

@dataanalysis @python @coursera @IBM

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..

Detect buried land mines based on magnetic field distortions.

Flask for training/testing Watson, FastText, Gensen Embeddings and hDBScan. Plus it supports MLFlow for model info logging.