Albert Opoku's repositories
Topic-Modeling-with-Non-Negative-Matrix-Factorization-NMF-
Topic Modeling with Non-Negative Matrix Factorization (NMF)
Classification-of-customer-complaints-using-tensorflow---Text-Classification-with-Word-Embeddings
Classification of customer complaints using tensorflow - Text Classification with Word Embeddings
Downloading-Kaggle-Datasets-into-Google-Colab
Downloading Kaggle Datasets into Google Colab
Google-places-API
Google places API scraping restuarant and hotels reviews
Domain_Specific_Word2Vec_Word_Embedding_Model_with_Gensim
Training domain specific Word2Vec word embedding model with Gensim
Implementing-ROE-and-EV_EBITDA-to-Discover-Bargain-Stocks
Implementing ROE and EV_EBITDA to Discover Bargain Stocks
Machine-Learning-with-Xgboost-and-Keras
Telco Churn Machine Learning Model with Xgboost and Keras
Named_Entity_Recognition_With_Spacy
Named Entity Recognition With Spacy Package
Named_Entity_Recognition_With_Stanford_NLP
Name Entity Recognition With Stanford NLP NER Package
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deep-learning-workshop
Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data
deep_learning_cookbook
Deep Learning Cookbox
jmsteinw.github.io
My Data Science website
opokualbert.github.io
Machine Learning and Data Science Blog
pwc
Papers with code. Sorted by stars. Updated weekly.
pyresparser
A simple resume parser used for extracting information from resumes
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
scipy_con_2019
Tutorial Sessions for SciPy Con 2019
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Value-Stock-Screening-Scraper-Step-2
Value Stock Screening Scraper Step 2