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Top 21 Jupyter Notebook machine-learning-algorithm Projects
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I don't recommend just jumping in into natural language processing directly without understanding artificial intelligence theory. I personally recommend for you to start with the basic stuff (regression, classification, and clustering, for example), and then jump into more advanced topics. You already know software developer stuff, so that's a big step already, and it should be easier to understand some concepts. Maybe follow Microsoft's machine learning for beginners curriculum? It looks like a good roadmap overall to not instantly burn out on nlp
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homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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SonarLint
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python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
Project mention: Can you recommend a Python textbook to replace "An Introduction to Statistical Learning with Applications in R", Witten, J. et. al. [E] | /r/statistics | 2022-12-12 -
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
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A number of excellent topic modeling libraries exist in Python today. BERTopic and Top2Vec are two of the most popular. Both use sentence-transformers to encode data into vectors, UMAP for dimensionality reduction and HDBSCAN to cluster nodes.
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Play-with-Machine-Learning-Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
Project mention: Play-with-Machine-Learning-Algorithms: NEW Courses - star count:1156.0 | /r/algoprojects | 2022-06-25 -
InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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Time-series-classification-and-clustering-with-Reservoir-Computing
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.
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Multi-Type-TD-TSR
Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
Recently, I've been researching extracting tables from image documents. First I tried with pdfs, however, the data extraction libraries like camelot are inconsistent. I found a deep learning model called CascadeTabNet. The detection results are okay but cell recognition is poor. I even found Multi-Type-TD-TSR for table extraction. It uses image processing techniques to find the grids. It performs well on structured and bordered tables. However, it messes up if the cell is not properly aligned. Even if extraction is successful, aggregation of multi-line cells, i.e post-processing, is not very obvious.
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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
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PyImpetus
PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
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100DaysOfML
100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
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Day 31 - Machine Learning Linear Regression
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humble-benchmarks
Benchmarking programming languages using statistics and machine learning algorithms
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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.
Project mention: Diabetes Prediction Using SVM - Interesting Machine Learning Projects | dev.to | 2022-09-19Github Link for Jupyter File and Dataset : Click Here
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Jupyter Notebook machine-learning-algorithms related posts
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- AI i Machine Learning
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- GitHub - microsoft/ML-For-Beginners: 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- 60 Days of Data Science and Machine Learning
- 60 Days of Data Science and Machine Learning
- 60 Days of Data Science and Machine Learning
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A note from our sponsor - SonarLint
www.sonarlint.org | 4 Jun 2023
Index
What are some of the best open-source machine-learning-algorithm projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | ML-For-Beginners | 48,766 |
2 | homemade-machine-learning | 21,351 |
3 | python-machine-learning-book | 11,870 |
4 | pattern_classification | 4,015 |
5 | machine_learning_basics | 3,984 |
6 | hdbscan | 2,454 |
7 | Play-with-Machine-Learning-Algorithms | 1,206 |
8 | Time-series-classification-and-clustering-with-Reservoir-Computing | 260 |
9 | Multi-Type-TD-TSR | 198 |
10 | artificial-intelligence-and-machine-learning | 137 |
11 | PyImpetus | 109 |
12 | ai-seed | 103 |
13 | 100DaysOfML | 100 |
14 | mljar-examples | 51 |
15 | Graphs4Sci | 40 |
16 | kaggle-courses | 30 |
17 | Machine-Learning-Algorithms | 24 |
18 | 60-Days-of-Data-Science-and-ML | 18 |
19 | humble-benchmarks | 6 |
20 | Diabetes-Prediction-Using-SVM | 4 |
21 | Python_NN | 0 |