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 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.

Showcase of MLflow capabilities

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

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.

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.

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

@dataanalysis @python @coursera @IBM

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

IBM Data Science Professional Certification

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…

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 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..

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

Food Prediction(Analytics Vidhya)