This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Deep Learning for NLP Python Notebooks in PyTorch and TensorFlow

SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time

📓 Long(er) text representation and classification using Doc2Vec embeddings

Collection of Notebooks for Natural Language Processing with PyTorch

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Notebooks pour le cours Deep Learning de zéro à la certification Tensorflow

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

En samling af Jupyter Notebooks

⚽ Notebook feito para analisar o case do Sentibol

LLM Agent that performs sentiment analysis of drawings and natural language using a combination of Google Gemini Vision model and GPT-4 Turbo with LlamaIndex.

Jupyter notebook for training a Bidirectional LSTM model for sentiment classification task on hotel reviews in Arabic

Notebook used to explore and classify 500,000 tweets about Elon Musk in an unsupervised manner.

In this notebook, I am updating NLP notebooks, and projects

This repository contains several beginner guide notebooks that explain how to solve common problems using machine learning algorithms.

This repository publishes notebooks created as part of an analysis of the 2020 COVID-19 crisis onto the economy, performed by a team of data scientists from IBM and Rolls-Royce for Emergent Alliance.

Contains different course tutorials and jupyter notebook file for applying different Deep Learning models in different NLP tasks such as text classification, summarization, translation, etc.

This Repository contains Python Notebooks to learn PyTorch starting from the very basics of implementing gradient descent algorithm in Python and Numpy and slowly moving up the ladder to Deep Learning using PyTorch