personal_machine_learning

I am a college student majoring in computer science, and this is a collection of some classic machine learning code in the process of learning machine learning, including python files and jupyter notebook files, etc., for reference only.

Currently, the cases included in this folder are: decision tree algorithm, support vector machine algorithm, KNN algorithm, regularized regression algorithm, random forest regression algorithm, K-means algorithm and DBSCAN algorithm.

It is being updated in real time.

If you have any advice or need some help in machine learning,please contact me via email "3370422610@qq.com".

My Environment:

(In fact, these are common algorithms, so the library functions required are all ordinary versions.Here are my own runtime environment as a reference.)

Package Version

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anyio 4.6.2 argon2-cffi 21.3.0 argon2-cffi-bindings 21.2.0 asttokens 2.0.5 async-lru 2.0.4 attrs 24.3.0 babel 2.16.0 beautifulsoup4 4.12.3 bleach 6.2.0 Brotli 1.0.9 certifi 2025.1.31 cffi 1.17.1 charset-normalizer 3.3.2 colorama 0.4.6 comm 0.2.1 contourpy 1.3.1 cycler 0.12.1 debugpy 1.8.11 decorator 5.1.1 defusedxml 0.7.1 executing 0.8.3 fastjsonschema 2.20.0 fonttools 4.55.8 h11 0.14.0 httpcore 1.0.2 httpx 0.27.0 idna 3.7 imageio 2.37.0 ipykernel 6.29.5 ipython 8.30.0 jedi 0.19.2 Jinja2 3.1.5 joblib 1.4.2 json5 0.9.25 jsonschema 4.23.0 jsonschema-specifications 2023.7.1 jupyter_client 8.6.3 jupyter_core 5.7.2 jupyter-events 0.10.0 jupyter-lsp 2.2.0 jupyter_server 2.14.1 jupyter_server_terminals 0.4.4 jupyterlab 4.3.4 jupyterlab-pygments 0.1.2 jupyterlab_server 2.27.3 kiwisolver 1.4.8 MarkupSafe 2.1.3 matplotlib 3.10.0 matplotlib-inline 0.1.6 mglearn 0.2.0 mistune 2.0.4 nbclient 0.8.0 nbconvert 7.16.4 nbformat 5.10.4 nest-asyncio 1.6.0 notebook 7.3.2 notebook_shim 0.2.3 numpy 2.2.2 overrides 7.4.0 packaging 24.2 pandas 2.2.3 pandocfilters 1.5.0 parso 0.8.4 pillow 11.1.0 pip 25.0 platformdirs 3.10.0 prometheus_client 0.21.0 prompt-toolkit 3.0.43 psutil 5.9.0 pure-eval 0.2.2 pycparser 2.21 Pygments 2.15.1 pyparsing 3.2.1 PySocks 1.7.1 python-dateutil 2.9.0.post0 python-json-logger 3.2.1 pytz 2025.1 pywin32 308 pywinpty 2.0.14 PyYAML 6.0.2 pyzmq 26.2.0 referencing 0.30.2 requests 2.32.3 rfc3339-validator 0.1.4 rfc3986-validator 0.1.1 rpds-py 0.22.3 scikit-learn 1.6.1 scipy 1.15.1 Send2Trash 1.8.2 setuptools 75.8.0 six 1.16.0 sniffio 1.3.0 soupsieve 2.5 stack-data 0.2.0 terminado 0.17.1 threadpoolctl 3.5.0 tinycss2 1.4.0 tornado 6.4.2 traitlets 5.14.3 typing_extensions 4.12.2 tzdata 2025.1 urllib3 2.3.0 wcwidth 0.2.5 webencodings 0.5.1 websocket-client 1.8.0 wheel 0.45.1 win-inet-pton 1.1.0

Thank you for your reading!