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Aniket Jagtap's Projects

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Indian Startup Funding Analysis: Explore funding trends of Indian startups (2015-2017). Identify funded startup types, key investors, and hot fields attracting significant funding. Leverage Python for data analysis and visualization to empower decision-making in the Indian startup ecosystem.

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A decision tree project typically starts with a dataset containing input features and corresponding target labels or values. The goal of the project is to build a decision tree model that can make predictions or decisions based on the input features.

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This project is an implementation of the Gradient Descent algorithm for predictive modeling with N features. In this project, we will explore the impact of different learning rates, the number of iterations, and the use of feature scaling on the algorithm's performance.

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This project is an implementation of the Gradient Descent algorithm for predictive modeling with N features. Gradient Descent is a fundamental optimization technique used in machine learning and deep learning to find the optimal parameters for a given model.

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The InstaBot repository is a Python project that utilizes the Selenium library to create a bot for automating interactions on Instagram. With this bot, you can perform various tasks on Instagram, such as liking posts, following users, leaving comments, and more, all in an automated manner.

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The InstaBot repository is a Python project that utilizes the Selenium library to create a bot for automating interactions on Instagram. With this bot, you can perform various tasks on Instagram, such as liking posts, following users, leaving comments, and more, all in an automated manner.

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In a logistic regression project using the Titanic dataset, we aim to predict the probability of survival for passengers based on various features such as age, gender, and ticket class. This binary classification model helps us understand the factors influencing survival on the ill-fated Titanic.

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This repository contains a comprehensive TMDB API integration project that enables developers to interact with The Movie Database (TMDB) API and retrieve movie-related data. The TMDB API offers a rich set of endpoints to access a vast collection of movies, TV shows, actors, and more.

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