A collection of machine learning notebooks created for learning purposes.
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Updated
Aug 11, 2018 - Jupyter Notebook
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
A collection of machine learning notebooks created for learning purposes.
Jupyter notebooks on various datasets
This python code is a part of ongoing hackathon "Loan Prediction" at Analytics Vidhya
assignments from deep learning course, computer vision course, phdopen
Collection of Machine Learning Jupyter Notebooks.
Esta es una colección de proyectos de MachineLearning que he realizado adentrándome en el mundo de los datos, principalmente utilizando las librerías de Python: pandas, SKLearn, TensorFlow, Keras, NumPy, matplotlib y seaborn.
Deep Learning Machine Learning Templates
Jupyter Notebook predicting the House Prices
Jupyter Notebooks of Tensorflow 2 Projects
Various Jupyter Notebooks for a Kaggle Competition
Notebook for Coursera Tensorflow in Practices courses
Notebooks from Andrew Ng's CNNs Course
Project bài tập cuối môn của khóa Deep Learning ở Coursera
Deep Learning specialization by DeepLearning.AI assignment notebooks.
Collab Notebook Learned and Implemented During Spring 2024
My Google Colab notebooks for studying Deep Learning
Research notebook for Zero shot learning based image classification
iPython notebooks for a IBM Advanced Data Science course in Coursera...
Jupyter notebook in which a Keras model for classifying birds is being built