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https://github.com/labex-labs/practice-ml-programming-projects
Practice Machine Learning Programming Projects | This repo collects 17 of programming projects for Machine Learning. Machine Learning is transforming industries across the globe. This Skill Tree presents a systematic approach to learning ML concepts and techniques. Designed for beginners, it prov...
https://github.com/labex-labs/practice-ml-programming-projects
List: practice-ml-programming-projects
awesome awesome-list exercises hands-on labex ml programming projects
Last synced: about 2 months ago
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Practice Machine Learning Programming Projects | This repo collects 17 of programming projects for Machine Learning. Machine Learning is transforming industries across the globe. This Skill Tree presents a systematic approach to learning ML concepts and techniques. Designed for beginners, it prov...
- Host: GitHub
- URL: https://github.com/labex-labs/practice-ml-programming-projects
- Owner: labex-labs
- Created: 2024-06-06T07:24:39.000Z (7 months ago)
- Default Branch: master
- Last Pushed: 2024-11-01T01:51:13.000Z (2 months ago)
- Last Synced: 2024-11-08T19:02:48.377Z (2 months ago)
- Topics: awesome, awesome-list, exercises, hands-on, labex, ml, programming, projects
- Homepage: https://labex.io/skilltrees/ml
- Size: 12.7 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Practice Machine Learning Programming Projects
Machine Learning is transforming industries across the globe. This Skill Tree presents a systematic approach to learning ML concepts and techniques. Designed for beginners, it provides a clear roadmap to understand algorithms, model training, and data analysis. Hands-on, non-video courses and practical exercises in an interactive ML playground ensure you develop real-world skills in building and deploying machine learning models.
| Index | Name | Level | Project Link |
|---------|-----------------------------------------------------------------------------------------------------------------------------------------------------|---------|-----------------------------------------------------------------------------------------------------|
| 01 | [Deploying MobileNet With TensorFlow.js and Flask](https://labex.io/courses/project-deploying-mobilenet-with-tensorflowjs-and-flask) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-deploying-mobilenet-with-tensorflowjs-and-flask) |
| 02 | [Deploying a Simple TensorFlow Model](https://labex.io/courses/project-deploying-a-simple-tensorflow-model) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-deploying-a-simple-tensorflow-model) |
| 03 | [Classifying Iris Using SVM](https://labex.io/courses/project-classifying-iris-using-svm) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-classifying-iris-using-svm) |
| 04 | [Broad Listening Leads to Insight](https://labex.io/courses/project-broad-listening-leads-to-insight) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-broad-listening-leads-to-insight) |
| 05 | [Implementing Confusion Matrix for Classification](https://labex.io/courses/project-create-confusion-matrix) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-create-confusion-matrix) |
| 06 | [Data Cleaning and Purification with Python](https://labex.io/courses/project-csv-data-purification) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-csv-data-purification) |
| 07 | [Divide Dataset Into Mini-Batches](https://labex.io/courses/project-divide-dataset-into-mini-batches) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-divide-dataset-into-mini-batches) |
| 08 | [Early Stopping for Machine Learning](https://labex.io/courses/project-early-stopping) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-early-stopping) |
| 09 | [Encoding Label to One-Hot](https://labex.io/courses/project-encoding-label-to-one-hot) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-encoding-label-to-one-hot) |
| 10 | [Optimizing Gradient Descent for Global Optimization](https://labex.io/courses/project-haste-makes-waste) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-haste-makes-waste) |
| 11 | [K-Nearest Neighbors Regression Algorithm Implementation](https://labex.io/courses/project-k-nearest-neighbors-regression-algorithm-implementation) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-k-nearest-neighbors-regression-algorithm-implementation) |
| 12 | [Linear Regression Fitting and Plotting](https://labex.io/courses/project-linear-regression-fitting-and-plotting) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-linear-regression-fitting-and-plotting) |
| 13 | [Nonlinear Regression Model Estimation](https://labex.io/courses/project-linear-validation-method) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-linear-validation-method) |
| 14 | [Implementing Minkowski Distance Metric](https://labex.io/courses/project-implementing-minkowski-distance-metric) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-implementing-minkowski-distance-metric) |
| 15 | [Implementation of Polynomial Regression](https://labex.io/courses/project-polynomial-regression-implementation-and-application) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-polynomial-regression-implementation-and-application) |
| 16 | [Simple Handwritten Character Recognition Classifier](https://labex.io/courses/project-simple-handwritten-character-recognition-classifier) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-simple-handwritten-character-recognition-classifier) |
| 17 | [Balanced Batch Generation for Imbalanced Datasets](https://labex.io/courses/project-balanced-batch-generation-for-imbalanced-datasets) | ★☆☆ | [🚀 Start](https://labex.io/courses/project-balanced-batch-generation-for-imbalanced-datasets) |## More Projects
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- [React Programming Projects](https://github.com/labex-labs/practice-react-programming-projects)## Other Lists
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