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    Machine Learning & Deep Learning : Python Practical Hands-on

    Posted By: Sigha
    Machine Learning & Deep Learning : Python Practical Hands-on

    Machine Learning & Deep Learning : Python Practical Hands-on
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English (UK) | Size: 4.80 GB | Duration: 10h 51m

    Master machine learning and data science with a practical, hands-on approach using Python. This course teaches you how to analyze data, build predictive models, and apply machine learning techniques to real-world problems using industry-standard tools and workflows.

    Machine Learning Regression Masterclass in Python

    Posted By: Sigha
    Machine Learning Regression Masterclass in Python

    Machine Learning Regression Masterclass in Python
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English (US) | Size: 5.17 GB | Duration: 10h 21m

    Master regression techniques in machine learning using Python with practical, hands-on lessons. This course teaches you how to build predictive models, analyze data, and apply regression algorithms to real-world problems with clarity and confidence.

    Bayesian Statistics for Data Science

    Posted By: Sigha
    Bayesian Statistics for Data Science

    Bayesian Statistics for Data Science
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English (US) | Size: 2.65 GB | Duration: 5h 34m

    A former Google data scientist helps you master the basics of Bayesian statistics, with examples in R and Stan

    Reliability Engineering Statistics (2026)

    Posted By: Sigha
    Reliability Engineering Statistics (2026)

    Reliability Engineering Statistics (2026)
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English (US) | Size: 9.43 GB | Duration: 9h 7m

    Reliability Engineering Statistics: Probability, SPC, Hypothesis Testing, Distributions and Data Analysis Essentials

    Data Science Foundations: Data Assessment for Predictive Modeling [Updated: 8/29/2025]

    Posted By: IrGens
    Data Science Foundations: Data Assessment for Predictive Modeling [Updated: 8/29/2025]

    Data Science Foundations: Data Assessment for Predictive Modeling [Updated: 8/29/2025]
    .MP4, AVC, 1152x720, 30 fps | English, AAC, 2 Ch | 4h 3m | 738 MB
    Instructor: Keith McCormick

    Executive Guide to Predictive Modeling Strategy at Scale

    Posted By: IrGens
    Executive Guide to Predictive Modeling Strategy at Scale

    Executive Guide to Predictive Modeling Strategy at Scale
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 2m | 123 MB
    Instructor: Keith McCormick

    AI Predictive Analysis with Python & Ensemble Learning

    Posted By: naag
    AI Predictive Analysis with Python & Ensemble Learning

    AI Predictive Analysis with Python & Ensemble Learning
    MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | 6 hours 21 minutes | 59 lectures | 4.91 GB
    Genre: eLearning | Language: English

    Unlock AI with ensemble learning, class imbalance solutions, and cutting-edge applications for a comprehensive skill set

    Predictive Modeling with Python

    Posted By: ELK1nG
    Predictive Modeling with Python

    Predictive Modeling with Python
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 3.54 GB | Duration: 9h 25m

    Think with a predictive mindset and understand well the basics of the techniques used in prediction with this course

    Statistics for Health Data Science: An Organic Approach

    Posted By: AvaxGenius
    Statistics for Health Data Science: An Organic Approach

    Statistics for Health Data Science: An Organic Approach by Ruth Etzioni
    English | PDF,EPUB | 2020 | 238 Pages | ISBN : 3030598888 | 15 MB

    Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the explosion in publicly available data that simultaneously informs and inspires new avenues of investigation. The challenge is that the analytic tools required go far beyond the standard methods and models of basic statistics. This textbook aims to equip health care researchers with the most important elements of a modern health analytics toolkit, drawing from the fields of statistics, health econometrics, and data science.