cryptocurrency-price-prediction VS artificial-intelligence-and-machine-learning

Compare cryptocurrency-price-prediction vs artificial-intelligence-and-machine-learning and see what are their differences.

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cryptocurrency-price-prediction artificial-intelligence-and-machine-learning
2 1
555 156
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0.0 0.0
over 1 year ago 10 months ago
Jupyter Notebook Jupyter Notebook
MIT License -
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cryptocurrency-price-prediction

Posts with mentions or reviews of cryptocurrency-price-prediction. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-04.
  • Help with Jupyter notebook for crypto price prediction
    2 projects | /r/learnpython | 4 Mar 2021
    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.

artificial-intelligence-and-machine-learning

Posts with mentions or reviews of artificial-intelligence-and-machine-learning. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing cryptocurrency-price-prediction and artificial-intelligence-and-machine-learning you can also consider the following projects:

Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM

python-machine-learning-book - The "Python Machine Learning (1st edition)" book code repository and info resource

AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022

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.

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

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.

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

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

RecSys_Course_AT_PoliMi - This is the official repository for the Recommender Systems course at Politecnico di Milano.