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.

Data analysis with Python to building and evaluating data models

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

Food Prediction(Analytics Vidhya)

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.

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

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.

@dataanalysis @python @coursera @IBM

Generate valuable insights from customer and transactions data.

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.

These projects illustrate key machine learning concepts, model development, regression, predictions, model assessment, iterations, and parametrization in the context of operational forecasting

Developing, Evaluating, and Comparing different Classification Models on Heart Failure Prediction Dataset

Explore my ML portfolio | Pushing the boundaries of ML | Venturing into supervised, unsupervised, and reinforcement learning | Encompassing classification, regression, NLP, time-series analysis, explainable AI, and image segmentation.

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.

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.

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

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..

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.

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.