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…

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

This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!

Loan_Default_Prediction

Showcase of MLflow capabilities

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

IBM Data Science Professional Certification

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

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.

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.

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..

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

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.

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.

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.

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

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

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.

Generate valuable insights from customer and transactions data.