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The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These vide…
Tensorflow-in-Practice-Specialization
Simple python example on how to use ARIMA models to analyze and predict time series.
IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their j…
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Data science interview questions and answers
In this module, we'll use Keras to build a neural network that scores text for sentiment. An input such as "Great service, and some of the best food I've ever tasted" will score close to 1.0 indica…
A Python-based Sentiment Analysis system that predicts the sentiment of a given review and assigns it a score from 0 (worst) to 1 (best)
Natural Language Processing Tutorial for Deep Learning Researchers
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.
Deep Learning library built from scratch with Python and NumPy
Bonus materials, exercises, and example projects for our Python tutorials
Sentiment analysis and text classification with Python
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Recurrent Neural Network - A curated list of resources dedicated to RNN
A curated list of awesome Deep Learning tutorials, projects and communities.
📚 List of awesome university courses for learning Computer Science!
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Open Content for self-directed learning in data science
Free resources for learning data science
Open Source Data Science Resources.
📝 An awesome Data Science repository to learn and apply for real world problems.
How to build RNNs and LSTMs from scratch with NumPy.
⭐️ Companies that don't have a broken hiring process
Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.