cryptocurrency-price-prediction VS AI-Expert-Roadmap

Compare cryptocurrency-price-prediction vs AI-Expert-Roadmap and see what are their differences.

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cryptocurrency-price-prediction AI-Expert-Roadmap
2 30
555 28,338
- 1.5%
0.0 0.0
about 1 year ago 4 months ago
Jupyter Notebook JavaScript
MIT License 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.

AI-Expert-Roadmap

Posts with mentions or reviews of AI-Expert-Roadmap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-07.

What are some alternatives?

When comparing cryptocurrency-price-prediction and AI-Expert-Roadmap you can also consider the following projects:

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

developer-roadmap - Interactive roadmaps, guides and other educational content to help developers grow in their careers.

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

dalle-playground - A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)

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

igel - a delightful machine learning tool that allows you to train, test, and use models without writing code

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

LeetCode - This is my LeetCode solutions for all 2000+ problems, mainly written in C++ or Python.

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

pycm - Multi-class confusion matrix library in Python

artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

arbitrary-image-stylization-tfjs - Arbitrary style transfer using TensorFlow.js