Rahul Gupta's repositories
Ads-Click-Through-Rate
In this project, I have developed a Machine Learning model to predict whether users will click on ads. By analyzing various characteristics of users who click on ads, we can gain valuable insights and optimize ad campaigns for better engagement.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Credit-Score-Classifier
This project aims to develop a machine learning model that can accurately classify an individual's credit score between ["Good", "Standard","Poor"]. The model was trained using a supervised learning algorithm, Random Forest, on a dataset of credit score data.
Deep-Learning-Specialization-Coursera
Complete course along with lecture slides,additional notes and project notebooks
DeepLearning.AI-Natural-Language-Processing-Specialization
This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.
Git-and-Github-Intro
Brief Intro of GIT AND GITHUB with basic commands and tutorial
rahulg-101
This section is literally "About me" !
Scikit-Learn-Complete-Guide
The repository covers a wide range of topics and algorithms required for different kinds of Machine Learning Tasks using the scikit-learn library
Taxi-Fare-Amount-Prediction-Project
This project predicts taxi fares using machine learning. It preprocesses data, explores features, builds models, and achieves a 0.93 R-squared score on the test set. The repository is open for collaboration.
Text-Recognition-from-Images
This project aims to convert an image containing textual information into its equivalent textual form using Python programming language. The project uses Optical Character Recognition (OCR) technology to recognize and extract the text from the input image.
Youtube-Comment-Spam-Detection
This project aims to develop a machine learning algorithm that can accurately detect and filter out spam comments on YouTube videos.
Objection-Detection-and-Tracking-on-Football-Players
We are using Yolov8 to detect & track objects which are players,refree,goalkeeper and football itself in this project