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100-days-of-aws-educate-learning

Notes in an easy and simple way about AWS Educate Learning

33-important-nlp-tasks-and-most-popular-nlp-library

NLP landscape with a brief explanation of 33 common NLP tasks and list of most useful NLP libraries

attention-mechanism-to-traverse-the-tree

This model uses Sequence-to-Sequence Attention Mechanism to Traverse the Tree

auto-tweet-bot-web-automation-project

This is a Web Automation project. It automatically tweets "Teletubbies Transcript" line-by-line on Twitter.

awesome-data-science-with-python

Great resources for learning data science with Python including tutorials, code snippets, blog pieces, and lectures, as well as libraries.

awesome-ml-internships-worldwide

List of companies offering Machine learning and Data Science internships

awesome-ml-toolbox

Curated list of tools and technologies

blood-cancer-detection

The purpose of our project is to develop a system that can automatically detect cancer from blood cell images. This system uses a convolution network that inputs a blood cell images and outputs whether the cell is infected with cancer or not.

car-plane-detection-using-cnn-

This project mainly focused on car plane detection based on Convolution Neural Network. We are using Python 3.7.3 and NumPy to build this program. But, you can use any version of Python to run this code.

chatgpt-clone

Build Your Own ChatGPT with OpenAI API & Gradio

cheat-sheet-for-python-machine-learning-and-data-science

These cheat sheets have recently been re-designed into Super High-Resolution PDF. These cheat sheets are very helpful as a quick reference for the concepts.

credit-card-fraud-detection

The Credit Card Fraud Detection project is used to identify whether a new transaction is fraudulent or not by modeling past credit card transactions with the knowledge of the ones that turned out to be fraud. We will use various predictive models to see how accurate they are in detecting whether a transaction is a normal payment or a fraud.

curated-list-of-large-language-model

A curated list of Large Language Model

curated-list-of-ml-companies-in-nepal

Curated List of Machine Learning Companies in Nepal

curated-list-of-nepali-nlp-resources

A curated list of NLP Resources for the Nepali Language

custom-knowledgebot-using-gpt-index-and-langchain

Built custom KnowledgeBot using GPT-Index for vector index building and querying information retrieval, and LangChain for accessing OpenAI's resources.

data-science-and-machine-learning

data-science-tutorials

Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related.

data-structures-and-algorithms

diabetes-prediction-using-different-machine-learning

Main objective of this project is to predict whether the patient has diabetes or not based on various features like Glucose level, Insulin, Age, BMI. We will perform all the steps from Data gathering to Model deployment.

docker-cheat-sheet

Docker Cheat Sheet for you all

document-classification

Classify whether the document is Resume, JD, and Others using NLP techniques

drug-prescription

Learned how to Deal with Data having Textual Features, also learned NLP Techniques to transform and Process the Data to find out Important Insights.

dyanamic-id-card-generator-with-qrcode

I wil build an identity card generator python program. So, the purpose of this program is to create a digital identity card for an organization and for a company.

ecommerce-chatbot

Allows users to take various actions depending on the conversational flow.

email-notifier

An email notifier for Gmail using Python and SMTP

environment-sound-classification

build a basic simple Flask application that is able to classify 10 classes of sounds.

face-recognition-using-numpy-and-opencv

A simple face recognition script that identifies and classifies all faces in an image.

fine-tune-bert-transformer-with-spacy-3-for-ner

Learn how to fine-tune a BERT model to predict entities based on Label you have done while making your dataset from scientific abstracts.

fruits-recognition

Created a Model that can detect different types of fruits and vegetables from their images.