Blog Management WebSite Task-1 of Bharat Intern

Files and tasks of Bharat Intern internship

Personal portfolio

Stock Prediction of Netflix using LSTM

This repository contains a LSTM model, Google Stock Price Predictor

Predict house prices for upcoming years based on historical data. The model is compiled using Mean Squared Error as the loss function.

This repository showcases a simple and interactive clone of the Netflix landing page using HTML and CSS. The landing page adapts beautifully to various screen sizes, ensuring an optimal viewing experience on both desktop and mobile devices.

This Repository consists of all the tasks that were assigned to me during my internship at BharatIntern as an Artificial Intelligence Intern from July 10,2023 to August 01, 2023

In this task the AI must correct the word or give the word which is nearest to it.

Netflix Clone

Virtual Internship Web Development Tasks for Bharat Intern: Task 1 - Create a Portfolio with HTML, CSS and JavaScript.

The Calculator App is a user-friendly application that allows users to perform basic arithmetic calculations with ease. It is designed to provide a clean and intuitive interface for performing calculations on-the-go.

Iris flower classification model mainly focusing on logistic regression model and neural network using tensorflow

House price prediction using Linear regression , XGBRegressor and Tensorflow

We will learn how to use to get stock information, and visualize different aspects of it using Seaborn and Matplotlib. We will look at a few ways of analyzing the risk of a stock, based on its previous performance history. We will also be predicting future stock prices through a Long Short Term Memory (LSTM) method.