Linkedin Learning – Python For AI Projects From Data Exploration To Impact 2025 BOOKWARE-LERNSTUF
Linkedin Learning – Python For AI Projects From Data Exploration To Impact 2025 BOOKWARE-LERNSTUF | Apps-Tutorials | MP4 | 455.18 MiB
765 kb/s 1920×1080 | AAC 125 kb/s 2 CH
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Linkedin Learning
Python For AI Projects From Data Exploration To Impact
2025
__. .. .
.. - - - /- --- _- [ R E L E A S E D E T A i L S ]- . ./\ . - __./---'
Release Date : 2025-11-22
Publisher : Linkedin Learning
Title : Python For AI Projects From Data Exploration To Impact
Year : 2025
Month : November
Category : Technology
Language : English
Section : BOOKWARE
Files : 04 x 150 MB
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https://www.linkedin.com/learning/python-for-ai-projects-from-data-exploration
-to-impact
Experienced data analysts can drastically improve their competitiveness in the
current market with some hands-on AI and machine learning training. In this
course, Danny Ma-CEO and founder at Sydney Data Science and popular data
science influencer-offers you an easygoing, practical guide to developing AI
and machine learning algorithms using a data-driven approach. This course is
specifically created for practitioners with a strong understanding of data
analysis. Using simple Python code, you will learn how to utilize robust
machine learning algorithms on familiar types of business data. This course
enables you to bridge the gap between theory and actual use as you effectively
apply your new skills on the job.
_ . __.
.. - - _//- ___\____---' [ R E C R U i T i N G ] . - _\_ ___--'-_ -- -_ .
iF YOU HAVE ANYTHiNG TO OFFER
CONTACT US ViA THE SCENE, OR EMAiL ADDRESS BELOW
... . ___.
.. - - ___- _/ \____--' \ [ G R E E T i N G S ] _-------' \\___-- - // .
GREETiNGS TO ALL THE PAST AND PRESENT SCENE GROUPS AND SCENERS WHO MADE
STUF AVAiLABLE FOR THOSE THAT MAY NOT OTHERWISE HAD THE PRiViLEGE
_ _ _
.. -_- -/_- __--\__ [ C O N T A C T D E T A i L S ] --- -___-- - \ - .
lernstuf [at] proton [dot] me
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File List:
4.0K 01-introduction-en.srt 4.3M 01-introduction.mp4 12K 02-ai_use_cases-en.srt 20M 02-ai_use_cases.mp4 12K 03-ai_and_machine_learning_ml_frameworks-en.srt 17M 03-ai_and_machine_learning_ml_frameworks.mp4 4.0K 04-python_environment-en.srt 2.2M 04-python_environment.mp4 12K 05-data_exploration-en.srt 11M 05-data_exploration.mp4 12K 06-training_data_pipeline-en.srt 13M 06-training_data_pipeline.mp4 16K 07-turning_raw_text_into_business_insights_with_python_and_nlp-en.srt 37M 07-turning_raw_text_into_business_insights_with_python_and_nlp.mp4 16K 08-model_fitting-en.srt 22M 08-model_fitting.mp4 8.0K 09-building_smarter_search_from_keywords_to_semantic_ai-en.srt 12M 09-building_smarter_search_from_keywords_to_semantic_ai.mp4 20K 10-model_metrics-en.srt 27M 10-model_metrics.mp4 12K 11-from_search_to_answers_building_ai_knowledge_solutions-en.srt 23M 11-from_search_to_answers_building_ai_knowledge_solutions.mp4 12K 12-data_exploration-2-en.srt 14M 12-data_exploration-2.mp4 8.0K 13-preparing_customer_data_for_predictions_for_machine_learning-en.srt 25M 13-preparing_customer_data_for_predictions_for_machine_learning.mp4 16K 14-training_data_pipeline-2-en.srt 18M 14-training_data_pipeline-2.mp4 12K 15-building_classification_pipelines_in_python-en.srt 40M 15-building_classification_pipelines_in_python.mp4 16K 16-model_fitting-2-en.srt 18M 16-model_fitting-2.mp4 12K 17-model_metrics-2-en.srt 14M 17-model_metrics-2.mp4 8.0K 18-training_purchase_prediction_models-en.srt 35M 18-training_purchase_prediction_models.mp4 8.0K 19-data_exploration-3-en.srt 4.6M 19-data_exploration-3.mp4 4.0K 20-setting_up_your_coding_environment-en.srt 17M 20-setting_up_your_coding_environment.mp4 12K 21-setting_up_llms-en.srt 9.0M 21-setting_up_llms.mp4 8.0K 22-deploy_ai_web_apps_using_streamlit-en.srt 15M 22-deploy_ai_web_apps_using_streamlit.mp4 4.0K 23-run_an_ai_chatbot_from_explore_california_dataset-en.srt 12M 23-run_an_ai_chatbot_from_explore_california_dataset.mp4 8.0K 24-improving_genai_performance-en.srt 8.0M 24-improving_genai_performance.mp4 16K 25-bringing_it_all_together_improving_your_chatbot_with_ml-en.srt 40M 25-bringing_it_all_together_improving_your_chatbot_with_ml.mp4 4.0K 26-next_steps-en.srt 5.5M 26-next_steps.mp4 1.7M Exercises 1.7M Exercises/applied-ai-and-machine-learning-for-data-practitioners-5932259-main.zip 652K LERNSTUF 648K LERNSTUF/lernstuf_introduction_2025.rar 456M total
File: 01-introduction.mp4 Size: 4478331 bytes (4.27 MiB), duration: 00:00:46, avg.bitrate: 779 kb/s Audio: aac, 44100 Hz, stereo (und) Video: h264, yuv420p, 1920x1080, 30.00 fps(r) (und)
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Keywords: Linkedin, Learning, 8211, Python, For, Projects, From, Data, Exploration, Impact, 2025, BOOKWARE, LERNSTUFDownload from Nitroflare
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