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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.
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
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.
Explore the Fascinating World of Handwritten Digit Recognition! 🚀 Harness the Potent Capabilities of Neural Networks through this Code Snippet, Immersing Yourself in the Realm of AI-Driven Handwritten Digit Recognition. The Revered MNIST Dataset Anchors the Journey, Leading the Way in Crafting, Training, and Assessing Models for Accurate Digit For
The Titanic dataset is a classic playground for data scientists . It involves predicting passenger survival on the ill-fated ship based on various features . This task falls under the umbrella of classification in data science, where we aim to assign each passenger to one of two classes: survived or did not survive
📈 Explore stock market predictions using LSTM in our Stock Price Predictor repo! 🚀 Unlock insights into dynamic market trends as we leverage cutting-edge algorithms to forecast company stock prices. 📊💹 Additionally, dive into the Titanic Classification task, where we've crafted an algorithm predicting survival during the historic voyage. 🚢🔍
Virtual Internship Web Development Tasks for Bharat Intern: Task 2 - Create a simple website to convert temperature using HTML, CSS and JavaScript. Also added weather forecast to check the weather of any city.
📈 Stock Price Prediction with LSTM 🚀 In this project, I had the exciting opportunity to dive into the world of stock market analysis and prediction using the Long Short-Term Memory (LSTM) model. Technologies Used for this project, I primarily utilized the following tools and technologies: Python for data preprocessing, manipulation, visualization
"Auto Correct Tool using Jupyter Notebook: An AI-powered notebook project that employs advanced algorithms to automatically correct misspelled words or suggest the closest matching words for improved text accuracy and clarity."