Ahmet Faruk Çakmak's repositories
fetch_PubMed_abstracts_by_keyword
It provides a method of how to fetch articles along with their features and text from PubMed API.
cnn_architecture_for_binary_text_classification_cats_and_dogs
CNN architecture for binary text classification process of cats and dogs text files.
DSND_Term1
Contains files related to content and project of DSND
DSND_Term2
Contains files related to content and project of DSND Term 2
Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Learn_Physics_in_2_Months
This is the curriculum for "Learn Physics in 2 Months" by Siraj Raval on Youtube
Machine-Learning-Pipelines
In this Repo, I am going to implement a message classifier by automating the machine-learning workflows with pipelines using the dataset of corporate messaging as a case study
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
multi_class_text_classification
Multi class text classification for customer complain dataset
pima_diabetes_biased_random_forest
Biased Random Forest for Dealing with the Class Imbalance Problem
pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
PubMed-abstracts-of-wor2vec-GloVe-SpaCy-NER
Applying NLP deep word embeddings along side Named Entity Recognition to abstracts of articles that been parsed by the keyword of vioxx from PubMed API.
python_coding_interview_question
Numerous coding challenges have been posted on this repo. Mainly collected from Lucid Programming.
pytorch-pos-tagging
A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
stackoverflow
Findings from Stackoverflow 2017
topic_modelling_PubMed_virus_articles
We will apply LDA to convert set of our research article anstracts to a set of topics.