📓 Long(er) text representation and classification using Doc2Vec embeddings
-
Updated
Jun 17, 2024 - Python
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
📓 Long(er) text representation and classification using Doc2Vec embeddings
A set of jupyter notebooks
A collection of notebooks with TensorFlow and the Keras API for various deep-learning and machine learning problems
The hands-on NLTK tutorial for NLP in Python
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Slides and notebook for the workshop on building a search system
This notebook provides some skills to perform financial analysis on economical data.
Text Generation notebook using TensorFlow 2.0
Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorflow, Genetic Algorithms, Dask, Word Embedding
Introducing Natural Language Processing (NLP) with jupyter notebooks.
This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.
Explore NLP tasks with Python using NLTK, SpaCy & scikit-learn: Tokenization, Normalization, NER, POS tagging, Encoding, Word embedding.
Source Code of Fractal Analytics Hackathon Challenge
This repository is a collection of Jupyter Notebooks 📔containing Exploratory Data Analysis 📊 and Models on different Datasets which are taken from kaggle.
Find everything required to become a Machine Learning Engineer.
Exploring LLMs with interactive notebooks.
Collection of my Deep Learning and Machine Learning notebooks.
Slides, Notebook and Data for Presentation: DataHour: Harnessing ML and NLP for Elevated Customer Experiences
Jupyter Notebooks consisting of various nlp tasks. (NLP role based interviews)
Repository for storing my NLP practice notebooks
Created by Alan Turing