Analytics Siksha

Highly Experienced Data Scientist. Prficiency in Data Analysis tools. Deliver client ready projects. Worked with MNCs and delivered industry ready projects.

Real-Estate price prediction ML model to a working web application

Let’s turn our real estate price prediction model into a working web application. Option 1: Flask Web App (Python + HTML) A lightweight setup ideal if you want full control over frontend design. What You will Build: A form to enter house details A backend that loads your trained model and returns the predicted price

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Machine Learning Model for Real Estate Price Prediction

Predicting House Prices(Real Estate) is one of the most practical and popular applications of machine learning. Predicting House prices is a classic machine learning problem that combines data analysis, feature engineering, and regression modeling. In this step by step guide, we will build a price prediction model using a real estate dataset in Pthon. In

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Credit Card Fraud Detection using ML: Easy Guide

Here is a detailed guide on Fraud Detection using machine learning algorithms with a Python code example. Project Overview Fraud Detection algorithms aim to identify suspecious transactions using patterns in collected data. This system is helpful in banking, e-commerce, and payment platforms. In this blog post we will learn step by step guide to develop

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Top 18 AI and Data Science Questions and Answer

Q1. What is AI? AI stands for Artificial Intelligence.Artificial Intelligence is a technology that mimics human behavior(acts like a human). For example— Humanoid Robots,Alexa, Siri, etc. Q2 What is DATA? Data is the smallest unit of any information. In other words, Data is raw facts and figures.For example: Roll-18, name-Aakash, Std -7 Q3. What is

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Wrap-Up: Generative AI in Data Science Series Recap & Practical Cheat Sheet

Here is a recap and cheat sheet to wrap up Generative AI in Data Science blog series – a one-stop summary for readers who want to review, revisit, or start from the top. Over the past 10 parts, we explored how generative AI is reshaping the way data scientists build, refine, and scale machine learning

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