tansugangopadhyay
Passionate student dedicated to exploring the fascinating realms of machine learning and data analysis
Pinned Repositories
Alarm-Clock-with-GUI
The alarm clock I crafted using Python with a graphical user interface (GUI) stands as a user-friendly and customizable time-management tool. Leveraging the Tkinter library for GUI development, the application provides an intuitive interface that allows users to set alarms with specific times and personalized labels.
artengine
The art engine I've developed using JavaScript stands as a dynamic and accessible tool for artistic expression, offering users the ability to generate a diverse range of images by manipulating different input layers. Leveraging the versatility of JavaScript the engine utilizes deep learning models to interpret and transform inputs into pictures
Cohort-Analysis
In this cohort analysis project, I harnessed the capabilities of several powerful Python libraries, including NumPy, Pandas, Matplotlib, and Seaborn, to explore and derive insights from a substantial dataset comprising over 500,000 customers.
eCommerce-Website
The ecommerce website I created serves as a dynamic and user-friendly platform that facilitates online transactions, connecting buyers and sellers in a seamless virtual marketplace.Leveraging technologies such as HTML, CSS, and JavaScript for the frontend, and employing backend technologies like Python with frameworks such as Django.
github.io
The portfolio website I crafted serves as a comprehensive digital showcase of my skills, achievements, and work, providing a centralized platform for potential employers, collaborators, and enthusiasts to explore my professional background.
Google-Search-Analysis
The primary use case for this endeavor was to gain valuable insights into the trending topics and search patterns on the world's most popular search engine. By utilizing PyTrends, a Python wrapper for Google Trends API, I was able to retrieve and analyze search data, providing a dynamic snapshot of user interests over a specified period.
Heart-Failure-Prediction-System
A heart failure prediction model, crafted through the utilization of pandas, numpy, seaborn, and matplotlib, holds immense potential for real-life impact. By analyzing key health indicators, such as age, blood pressure, and cholesterol levels, the model facilitates early identification of individuals at risk of heart failure.
Netflix-Data-Analysis
The Netflix data analysis model, developed using the powerful combination of NumPy, Pandas, and Plotly, serves as a valuable tool for extracting meaningful insights from the streaming platform's vast dataset. This model enables users to explore and analyze various aspects of Netflix's content library, user engagement, and viewer preferences.
Stock-Market-Analysis
In my stock market analysis project, I employed a powerful combination of Python libraries, including Pandas, Yfinance, and Plotly, to gather, analyze, and visualize financial data.
Text-Analysis
I recently developed a comprehensive text analysis model using a combination of powerful Python libraries, including Pandas, Plotly, WordCloud, Matplotlib, and TextBlob. Pandas served as the backbone for efficient data manipulation and preprocessing, allowing me to seamlessly handle and organize textual data.
tansugangopadhyay's Repositories
tansugangopadhyay/github.io
The portfolio website I crafted serves as a comprehensive digital showcase of my skills, achievements, and work, providing a centralized platform for potential employers, collaborators, and enthusiasts to explore my professional background.
tansugangopadhyay/Stock-Market-Analysis
In my stock market analysis project, I employed a powerful combination of Python libraries, including Pandas, Yfinance, and Plotly, to gather, analyze, and visualize financial data.
tansugangopadhyay/Alarm-Clock-with-GUI
The alarm clock I crafted using Python with a graphical user interface (GUI) stands as a user-friendly and customizable time-management tool. Leveraging the Tkinter library for GUI development, the application provides an intuitive interface that allows users to set alarms with specific times and personalized labels.
tansugangopadhyay/artengine
The art engine I've developed using JavaScript stands as a dynamic and accessible tool for artistic expression, offering users the ability to generate a diverse range of images by manipulating different input layers. Leveraging the versatility of JavaScript the engine utilizes deep learning models to interpret and transform inputs into pictures
tansugangopadhyay/Cohort-Analysis
In this cohort analysis project, I harnessed the capabilities of several powerful Python libraries, including NumPy, Pandas, Matplotlib, and Seaborn, to explore and derive insights from a substantial dataset comprising over 500,000 customers.
tansugangopadhyay/eCommerce-Website
The ecommerce website I created serves as a dynamic and user-friendly platform that facilitates online transactions, connecting buyers and sellers in a seamless virtual marketplace.Leveraging technologies such as HTML, CSS, and JavaScript for the frontend, and employing backend technologies like Python with frameworks such as Django.
tansugangopadhyay/Google-Search-Analysis
The primary use case for this endeavor was to gain valuable insights into the trending topics and search patterns on the world's most popular search engine. By utilizing PyTrends, a Python wrapper for Google Trends API, I was able to retrieve and analyze search data, providing a dynamic snapshot of user interests over a specified period.
tansugangopadhyay/Heart-Failure-Prediction-System
A heart failure prediction model, crafted through the utilization of pandas, numpy, seaborn, and matplotlib, holds immense potential for real-life impact. By analyzing key health indicators, such as age, blood pressure, and cholesterol levels, the model facilitates early identification of individuals at risk of heart failure.
tansugangopadhyay/Hostel-Management-System
The Hostel Management System I developed in the C programming language serves as a comprehensive solution for efficiently managing hostel-related tasks and information. This system allows hostel administrators to maintain a centralized database containing details about residents, room allocations, and billing information.
tansugangopadhyay/LeetCode
The LeetCode problem repository I've curated stands as a testament to my dedication and proficiency in algorithmic problem-solving. This comprehensive collection showcases the diverse range of challenges I've successfully tackled on the LeetCode platform, demonstrating my analytical and coding skills.
tansugangopadhyay/Netflix-Data-Analysis
The Netflix data analysis model, developed using the powerful combination of NumPy, Pandas, and Plotly, serves as a valuable tool for extracting meaningful insights from the streaming platform's vast dataset. This model enables users to explore and analyze various aspects of Netflix's content library, user engagement, and viewer preferences.
tansugangopadhyay/tansugangopadhyay
The README file I meticulously crafted for my GitHub repository serves as a polished and informative introduction, enhancing the overall presentation of my projects. Designed with clarity and conciseness in mind, the README effectively communicates the purpose, features, and usage of the repository.
tansugangopadhyay/Text-Analysis
I recently developed a comprehensive text analysis model using a combination of powerful Python libraries, including Pandas, Plotly, WordCloud, Matplotlib, and TextBlob. Pandas served as the backbone for efficient data manipulation and preprocessing, allowing me to seamlessly handle and organize textual data.
tansugangopadhyay/URL-Shortner
The URL shortener I developed using Python is a practical and efficient tool that simplifies long and complex web addresses into concise, easily shareable links. This service finds utility in various scenarios, particularly in social media posts, email communications, and marketing campaigns where character limits and aesthetics are crucial.
tansugangopadhyay/House-Price-Prediction
tansugangopadhyay/testnet