rishabh78601
Results-oriented DSA intern with a proven track record of leveraging strong logic and problem-solving skills to overcome challenges. Proficient in Python, adept
Pinned Repositories
CodeClauseInternship_Fake_News_Detector
The Fake News Detector project employs data science and machine learning to distinguish between fake and true news articles. Utilizing datasets, it applies Logistic Regression, Decision Tree, Gradient Boosting, and Random Forest models, achieving high accuracies (e.g., 99.55%).
CodeClauseInternship_Sentiment_Analysis
This project, titled "Twitter Sentiment Analysis - NLP," aims to detect hate speech in tweets using Natural Language Processing (NLP). The goal is to classify tweets as either containing racist/sexist sentiments (label '1') or not (label '0'). The best-performing model, Logistic Regression, achieves an accuracy of 95.00%.
Download-social-media-content-using-Libraries
Download social media content using Libraries 1. Import ‘instaloader’ 2. Import ‘pytube’
hackjack
Portfolio
rishabh78601
Config files for my GitHub profile.
Terminal_Based_Maze_Solver
Objective: To develop a terminal-based application that generates a random maze, finds a path from the start to the end, and visualizes the maze and path in the terminal.
Terminal_Typing_Master
Objective: To develop a terminal-based typing test application. The application tests the user's typing speed by presenting a list of random words from a selected category and measures metrics like words per minute (WPM).
Using-Tkinter-to-build-GUI-Calendar
Objective: This project aims to create a simple calendar date picker using the Tkinter library in Python. The program allows the user to select a date from the calendar and displays the selected date.
rishabh78601's Repositories
rishabh78601/rishabh78601
Config files for my GitHub profile.
rishabh78601/Terminal_Based_Maze_Solver
Objective: To develop a terminal-based application that generates a random maze, finds a path from the start to the end, and visualizes the maze and path in the terminal.
rishabh78601/Terminal_Typing_Master
Objective: To develop a terminal-based typing test application. The application tests the user's typing speed by presenting a list of random words from a selected category and measures metrics like words per minute (WPM).
rishabh78601/Using-Tkinter-to-build-GUI-Calendar
Objective: This project aims to create a simple calendar date picker using the Tkinter library in Python. The program allows the user to select a date from the calendar and displays the selected date.
rishabh78601/CodeClauseInternship_Fake_News_Detector
The Fake News Detector project employs data science and machine learning to distinguish between fake and true news articles. Utilizing datasets, it applies Logistic Regression, Decision Tree, Gradient Boosting, and Random Forest models, achieving high accuracies (e.g., 99.55%).
rishabh78601/CodeClauseInternship_Sentiment_Analysis
This project, titled "Twitter Sentiment Analysis - NLP," aims to detect hate speech in tweets using Natural Language Processing (NLP). The goal is to classify tweets as either containing racist/sexist sentiments (label '1') or not (label '0'). The best-performing model, Logistic Regression, achieves an accuracy of 95.00%.
rishabh78601/Download-social-media-content-using-Libraries
Download social media content using Libraries 1. Import ‘instaloader’ 2. Import ‘pytube’
rishabh78601/hackjack
rishabh78601/Portfolio