ranzeet013

Algorithmic-Trading

This repository contains code and resources for algorithmic trading, enabling you to automate your trading strategies and gain insights into the financial markets.

Deep_Learning_with_PyTorch

This repository contains code and resources focused on deep learning using the PyTorch framework. It offers practical implementations of deep learning techniques using PyTorch.

Deep_Learnings

Learning Machine Learning and Deep Learning

Image_Processing_Projects

This repository contains a collection of exciting and innovative projects in the field of image processing. Each project is designed to explore different aspects of image manipulation, analysis, and interpretation using various algorithms and deep learning techniques.

Interview_Preparation

Preparation for interview

Learning_Reinforcement_Learning

This repository is a collection of projects, experiments, and notes documenting my journey through reinforcement learning. It includes code implementations, research summaries, and practical exercises for various reinforcement learning algorithms and techniques.

LLM_Notebooks

Exploring LLMs with interactive notebooks.

Machine_Learning_Projects

The Machine Learnings repo consist of open-source machine learning projects covering various domains. It provides users with access to diverse projects, complete with documentation, tutorials, and datasets. Users can engage with the community, contribute to projects, and stay updated with the latest developments

Replicating_Researchpaper

This repository focuses on reproducing results from notable machine learning and AI research papers by implementing their methods, models, and experiments. Each project includes detailed documentation and code for replicating the original findings. Ideal for validating results and building upon existing research.

Transformers_NLP

The repository will feature projects related to Natural Language Processing & Transformers, aligning with the content of relevant books and courses Each project serves as a practical application, complementing the theoretical concepts explored during reading.

ranzeet013/Interview_Preparation

Preparation for interview

ranzeet013/Machine_Learning_Projects

The Machine Learnings repo consist of open-source machine learning projects covering various domains. It provides users with access to diverse projects, complete with documentation, tutorials, and datasets. Users can engage with the community, contribute to projects, and stay updated with the latest developments

ranzeet013/Learning_Reinforcement_Learning

This repository is a collection of projects, experiments, and notes documenting my journey through reinforcement learning. It includes code implementations, research summaries, and practical exercises for various reinforcement learning algorithms and techniques.

ranzeet013/Deep_Learnings

Learning Machine Learning and Deep Learning

ranzeet013/Replicating_Researchpaper

This repository focuses on reproducing results from notable machine learning and AI research papers by implementing their methods, models, and experiments. Each project includes detailed documentation and code for replicating the original findings. Ideal for validating results and building upon existing research.

ranzeet013/Transformers_NLP

The repository will feature projects related to Natural Language Processing & Transformers, aligning with the content of relevant books and courses Each project serves as a practical application, complementing the theoretical concepts explored during reading.

ranzeet013/Algorithmic-Trading

This repository contains code and resources for algorithmic trading, enabling you to automate your trading strategies and gain insights into the financial markets.

ranzeet013/Deep_Learning_with_PyTorch

This repository contains code and resources focused on deep learning using the PyTorch framework. It offers practical implementations of deep learning techniques using PyTorch.

ranzeet013/Imbalance_Data_Analysis

This repository contains set of tools and algorithms designed to effectively tackle imbalanced data challenges in domains like fraud detection, medical diagnosis, and anomaly detection.

ranzeet013/LLM_Notebooks

Exploring LLMs with interactive notebooks.

ranzeet013/PharmaQA.ai

ParmaQA.ai is an advanced QA system that combines a Retrieval-Augmented Generation (RAG) pipeline with LangChain, FAISS, and FastAPI to deliver accurate answers. It features an efficient backend for processing queries and a user-friendly frontend for seamless interaction.

ranzeet013/Analysis_Projects

Analysis Projects repository is a collection of files, code and documentation that supports the process of analyzing data. It typically contains data sets, scripts, statistical models, visualizations, and reports that are used to explore, clean, transform, and analyze data

ranzeet013/Analysis_Using_Comet

This repository contains code integrated with Comet.ml for streamlined tracking and analysis of machine learning experiments. Log metrics, code, and artifacts, and utilize Comet's interface to easily visualize and analyze results.

ranzeet013/Analysis_Using_R

This repository comprises R scripts and files dedicated to executing data analysis projects with the R programming language. It contains data files, code for tasks such as data cleaning and visualization, along with documentation elucidating the analysis methodology and results.

ranzeet013/Autoencoder_Decoder

The Autoencoder Decoder Repository is a comprehensive collection of code and resources dedicated to autoencoders and their associated decoders. Autoencoders are unsupervised learning models used for feature extraction, data compression, and reconstruction tasks.

ranzeet013/azure_function_deployment

A project designed to deploy and run Azure Functions using Python, enabling serverless computing capabilities. This project includes a machine learning model for predictions, integrated with a RESTful API for easy access. The setup utilizes Docker for containerization, ensuring a consistent environment for development and deployment

ranzeet013/Computer_Vision

Computer Vision Repository is a comprehensive collection of computer vision algorithms and techniques implemented as a repository. The goal of this project is to create a centralized hub for various computer vision tasks, such as image processing, object detection, image classification, and more.

ranzeet013/FastAI

I will implement fastai library in this repository which is open-source deep learning library, enabling easy and efficient development of neural network models , provides pre-built architectures, and offers high-level abstractions for tasks like image classification, natural language processing, and more.

ranzeet013/Handling_Missing_Values

This repository is to address the common challenge of handling missing values in datasets. It provides a collection of code, documentation, and resources aimed at effectively managing and imputing missing data for improved data analysis and modeling outcomes.

ranzeet013/Iris_Classifiaction_Flask_and_FastAPI

Iris Classifications is a web application that leverages machine learning with Flask and FastAPI to classify iris flowers into species based on user-provided input features, ensuring a seamless experience for all users.

ranzeet013/Iris_Classifications_CI-CD_Deployment

The Iris Classification CI/CD Project is machine learning application that classifies iris flowers using multiple algorithms, integrates a CI/CD pipeline for seamless deployment, and employs Docker for consistent environment management, showcasing best practices in modern software development.

ranzeet013/LangChain_with_Groq

This repository integrates Groq with LangChain to create an advanced response generation system. Leveraging Groq's high-performance computing and LangChain's flexible framework, it handles tasks like email response generation, sentiment analysis, and customer service automation, providing seamless and scalable AI-driven responses

ranzeet013/Natural-Languuage-Processing-

ranzeet013/Neural_Networks

The deep learning project repository has the code, data, and documentation of a various machine learning project that utilizes deep learning techniques.

ranzeet013/OOPs-in_Python

This repository consist of codes for various small python projects.

ranzeet013/OpenCV_Projects

This repository is collection of code and programs that harness the power of the Open Source Computer Vision Library (OpenCV)

ranzeet013/OSM_Route_Navigator

OpenStreetMap data and the A* algorithm to calculate and animate walking routes. It allows users to explore multiple paths between two points, providing an interactive way to visualize route networks.

ranzeet013/PRODIGY_MachineLearning_TASK

This repository is collection of machine learning tasks that I undertook during my internship at Prodigy InfoTech. It consist diverse range of projects, each highlighting practical applications of machine learning. The repository is organized, containing datasets, Jupyter notebooks, and corresponding source code for each task.

ranzeet013/R_Basics

This repository consist of R scripts and files used to perform basic analysis projects using the R programming language.

ranzeet013/Visualizing_Nobel_Prize_History

The repository aims to provide researchers, educators, and the general public with a captivating and insightful exploration of the prestigious Nobel Prize awards across various categories, including Physics, Chemistry, Medicine, Literature, Peace, and Economic Sciences.