artificial-intelligence-and-machine-learning
cryptocurrency-price-prediction
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artificial-intelligence-and-machine-learning | cryptocurrency-price-prediction | |
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artificial-intelligence-and-machine-learning
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Perceptron Algorithm from Scratch in Python
Thanks, you can check out the github repository if needed!
cryptocurrency-price-prediction
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Help with Jupyter notebook for crypto price prediction
Hey. This isn't really a predictor or forecaster in any sense, since the independent variables (X) are not knowable ahead of time. In fact, they include some serious data leakage such as the day's high and low, which will only be known at close (which is what it predicted). Also, the code to show the predictions is wrong, and essentially just shows the training data shifted forward (https://github.com/abhinavsagar/cryptocurrency-price-prediction/issues/1) so the results are just not there.
What are some alternatives?
python-machine-learning-book - The "Python Machine Learning (1st edition)" book code repository and info resource
Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM
Nerve - This is a basic implementation of a neural network for use in C and C++ programs. It is intended for use in applications that just happen to need a simple neural network and do not want to use needlessly complex neural network libraries.
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
Diabetes-Prediction-Using-SVM - In this case, we train our model with several medical informations such as the blood glucose level, insulin level of patients along with whether the person has diabetes or not so this act as labels whether that person is diabetic or non-diabetic so this will be label for this case.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0
RecSys_Course_AT_PoliMi - This is the official repository for the Recommender Systems course at Politecnico di Milano.
LSTM-Human-Activity-Recognition - Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier