SmartDriveML


NameSmartDriveML JSON
Version 0.0.12 PyPI version JSON
download
home_page
SummarySmartDriveML: Driving Industrial Projects with Affordable ML Solutions, Frameworks and Cloud Choices
upload_time2023-07-25 14:00:10
maintainer
docs_urlNone
authorHrishikesh Thakurdesai
requires_python
license
keywords python machine learning pyspark cloud
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            


With SmartDriveML, industries can drive their projects with confidence, leveraging affordable ML solutions, making informed cloud service choices, and selecting optimal frameworks. This powerful Python library empowers users to harness the potential of machine learning while ensuring cost-effectiveness, enabling industrial projects to thrive in the era of data-driven decision-making. Key Features of SmartDriveML: 1. Affordable ML Solutions: Access a comprehensive set of functions and algorithms for cost-effective machine learning project execution. 2. Cloud Service Cost Comparison: Evaluate and compare pricing options among various cloud service providers to optimize cost-efficiency. 3. Framework Suitability Assessment: Analyze and select the most suitable ML frameworks based on project requirements and constraints. 4. Cutting-Edge Machine Learning Techniques: Leverage advanced ML techniques and algorithms to drive industrial projects with confidence. 5. Python Library: SmartDriveML is a versatile and user-friendly Python library, providing seamless integration and ease of use.


            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "SmartDriveML",
    "maintainer": "",
    "docs_url": null,
    "requires_python": "",
    "maintainer_email": "",
    "keywords": "python,machine learning,pyspark,cloud",
    "author": "Hrishikesh Thakurdesai",
    "author_email": "hrishikesh.thakurdesai.92@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/59/5d/54fc1db28e0f19f3719144718acebe7d7c52178b4c276d02f283ce14ebcd/SmartDriveML-0.0.12.tar.gz",
    "platform": null,
    "description": "\r\n\r\n\r\nWith SmartDriveML, industries can drive their projects with confidence, leveraging affordable ML solutions, making informed cloud service choices, and selecting optimal frameworks. This powerful Python library empowers users to harness the potential of machine learning while ensuring cost-effectiveness, enabling industrial projects to thrive in the era of data-driven decision-making. Key Features of SmartDriveML: 1. Affordable ML Solutions: Access a comprehensive set of functions and algorithms for cost-effective machine learning project execution. 2. Cloud Service Cost Comparison: Evaluate and compare pricing options among various cloud service providers to optimize cost-efficiency. 3. Framework Suitability Assessment: Analyze and select the most suitable ML frameworks based on project requirements and constraints. 4. Cutting-Edge Machine Learning Techniques: Leverage advanced ML techniques and algorithms to drive industrial projects with confidence. 5. Python Library: SmartDriveML is a versatile and user-friendly Python library, providing seamless integration and ease of use.\r\n\r\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "SmartDriveML: Driving Industrial Projects with Affordable ML Solutions, Frameworks and Cloud Choices",
    "version": "0.0.12",
    "project_urls": null,
    "split_keywords": [
        "python",
        "machine learning",
        "pyspark",
        "cloud"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "f4dfac8e8b37253be1a31638c0dcc66a82dc009312d9d6aa7289ebbcceede921",
                "md5": "b2cd63ab7be8c95e420898944fbc0c5a",
                "sha256": "ba61e219b46f3de8a58c8682603b4450c8ea3785a90b6125e0ea3bc6cb056b5e"
            },
            "downloads": -1,
            "filename": "SmartDriveML-0.0.12-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "b2cd63ab7be8c95e420898944fbc0c5a",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": null,
            "size": 2875,
            "upload_time": "2023-07-25T14:00:09",
            "upload_time_iso_8601": "2023-07-25T14:00:09.605893Z",
            "url": "https://files.pythonhosted.org/packages/f4/df/ac8e8b37253be1a31638c0dcc66a82dc009312d9d6aa7289ebbcceede921/SmartDriveML-0.0.12-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "595d54fc1db28e0f19f3719144718acebe7d7c52178b4c276d02f283ce14ebcd",
                "md5": "08453f13ac0ae3dce853e4d61bd765bb",
                "sha256": "ab7c2bee8a8164baa6759483233deef26e82212fd5d9f12b8a3b20bf4fadfe23"
            },
            "downloads": -1,
            "filename": "SmartDriveML-0.0.12.tar.gz",
            "has_sig": false,
            "md5_digest": "08453f13ac0ae3dce853e4d61bd765bb",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 2950,
            "upload_time": "2023-07-25T14:00:10",
            "upload_time_iso_8601": "2023-07-25T14:00:10.783423Z",
            "url": "https://files.pythonhosted.org/packages/59/5d/54fc1db28e0f19f3719144718acebe7d7c52178b4c276d02f283ce14ebcd/SmartDriveML-0.0.12.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-07-25 14:00:10",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "smartdriveml"
}
        
Elapsed time: 1.34078s