YPDL-SentimentAnalysis-LR VS python-machine-learning-book

Compare YPDL-SentimentAnalysis-LR vs python-machine-learning-book and see what are their differences.

YPDL-SentimentAnalysis-LR

While Deep Learning is a subset of Machine Learning, the prediction methodology in deep learning is different and works similar to how a human brain uses neural pathways to process information & learn from it. In this workshop we will learn about the building blocks of deep learning, neural networks, and how they work. We'll start with Logistic Regression - a simple and basic neural network classification algorithm, having just a one-layer neural network. These are the resources for the first session of Your Path to Deep Learning. (by IBMDeveloperMEA)
Data Science Machine Learning logistic-regression movie-reviews NLP nlp-machine-learning
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python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource (by rasbt)
Machine Learning machine-learning-algorithms logistic-regression Data Science Data Mining Python scikit-learn neural-network
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YPDL-SentimentAnalysis-LR python-machine-learning-book
1 2
11 12,076
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0.0 0.0
over 2 years ago over 1 year ago
Jupyter Notebook Jupyter Notebook
- MIT License
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YPDL-SentimentAnalysis-LR

Posts with mentions or reviews of YPDL-SentimentAnalysis-LR. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-02.

python-machine-learning-book

Posts with mentions or reviews of python-machine-learning-book. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-12.

What are some alternatives?

When comparing YPDL-SentimentAnalysis-LR and python-machine-learning-book you can also consider the following projects:

YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow - Identify Handwritten Digits using CNN with TensorFlow

Time-series-classification-and-clustering-with-Reservoir-Computing - Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

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

Neural-Network-Steganography - Hide some secret 😎 data in a Neural Network - text, malicious software or watermark your NN

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

MLB-Pitch-Identification-with-ML - Identify the name of a pitch being thrown using a machine learning model.

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

weightless_NN_decompression - Proof of concept for neural network decompression without storing any weights

machine_learning_basics - Plain python implementations of basic machine learning algorithms

code - Compilation of R and Python programming codes on the Data Professor YouTube channel.

poniard - Streamline scikit-learn model comparison.

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

YPDL-SentimentAnalysis-LR vs YPDL-Identify-Handwritten-Digits-using-CNN-with-TensorFlow python-machine-learning-book vs Time-series-classification-and-clustering-with-Reservoir-Computing python-machine-learning-book vs artificial-intelligence-and-machine-learning python-machine-learning-book vs Neural-Network-Steganography python-machine-learning-book vs ML-Workspace python-machine-learning-book vs MLB-Pitch-Identification-with-ML python-machine-learning-book vs hyperlearn python-machine-learning-book vs weightless_NN_decompression python-machine-learning-book vs machine_learning_basics python-machine-learning-book vs code python-machine-learning-book vs poniard python-machine-learning-book vs ML-For-Beginners