Udemy - Complete Statistics BootCamp - Hands-On with Python

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[ TutSala.com ] Udemy - Complete Statistics BootCamp - Hands-On with Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Get Started on Google Collab.html (1.6 KB)
    • 1.1 Follow Along Scripts .pdf (1.2 MB)
    • 2. Collect your Course Follow Along Material.html (0.1 KB)
    • 2.1 Formula.pdf (264.8 KB)
    • 2.2 Solved examples.pdf (1.0 MB)
    • 3. Introduction to Jupyter Notebooks.mp4 (92.7 MB)
    • 3. Introduction to Jupyter Notebooks.srt (22.6 KB)
    • 4. Introduction to Numpy.mp4 (72.2 MB)
    • 4. Introduction to Numpy.srt (17.2 KB)
    • 5. Visualizations Basics.mp4 (67.0 MB)
    • 5. Visualizations Basics.srt (19.5 KB)
    2. Case Studies - Statistical Methods
    • 1. Sampling.mp4 (57.8 MB)
    • 1. Sampling.srt (12.8 KB)
    • 2. The Scientific Method.mp4 (29.5 MB)
    • 2. The Scientific Method.srt (8.2 KB)
    • 3. Anger Management - I.mp4 (82.2 MB)
    • 3. Anger Management - I.srt (15.3 KB)
    • 4. Anger Management - II.mp4 (57.2 MB)
    • 4. Anger Management - II.srt (9.0 KB)
    • 5. Anger Management - III.mp4 (109.0 MB)
    • 5. Anger Management - III.srt (25.9 KB)
    3. Case Studies - Multivariate Regression
    • 1. Basic of Linear Models.mp4 (106.0 MB)
    • 1. Basic of Linear Models.srt (24.6 KB)
    • 2. Power Plant Prediction Modelling - Multivariate Regression Modelling.mp4 (236.1 MB)
    • 2. Power Plant Prediction Modelling - Multivariate Regression Modelling.srt (44.0 KB)
    4. Case Studies - GLMLogistic Regression
    • 1. Breast Cancer Diagnosis - I.mp4 (232.0 MB)
    • 1. Breast Cancer Diagnosis - I.srt (50.0 KB)
    5. Statistics From Scratch
    • 1. Linear Algebra - Basics.mp4 (132.1 MB)
    • 1. Linear Algebra - Basics.srt (35.4 KB)
    • 10. Building Hypothesis Framework from Scratch - I.mp4 (143.8 MB)
    • 10. Building Hypothesis Framework from Scratch - I.srt (33.4 KB)
    • 11. Building Hypothesis Framework from Scratch - II.mp4 (100.5 MB)
    • 11. Building Hypothesis Framework from Scratch - II.srt (21.4 KB)
    • 12. Building Hypothesis Framework from Scratch - III.mp4 (97.8 MB)
    • 12. Building Hypothesis Framework from Scratch - III.srt (25.9 KB)
    • 13. Building Hypothesis Framework from Scratch - IV.mp4 (169.9 MB)
    • 13. Building Hypothesis Framework from Scratch - IV.srt (44.3 KB)
    • 2. Building Basic Statistical Functions - I.mp4 (37.1 MB)
    • 2. Building Basic Statistical Functions - I.srt (9.9 KB)
    • 3. Building Basic Statistical Functions - II.mp4 (65.7 MB)
    • 3. Building Basic Statistical Functions - II.srt (18.0 KB)
    • 4. Building Basic Statistical Functions - III.mp4 (108.8 MB)
    • 4. Building Basic Statistical Functions - III.srt (27.3 KB)
    • 5. Building Probability Distributions Function - I.mp4 (93.7 MB)
    • 5. Building Probability Distributions Function - I.srt (19.9 KB)
    • 6. Building Probability Distributions Function - II.mp4 (109.1 MB)
    • 6. Building Probability Distributions Function - II.srt (25.4 KB)
    • 7. Building Probability Distributions Function - III.mp4 (139.6 MB)
    • 7. Building Probability Distributions Function - III.srt (28.0 KB)
    • 8. Building Probability Distributions Function - IV.mp4 (117.4 MB)
    • 8. Building Probability Distributions Function - IV.srt (32.4 KB)
    • 9. Building Probability Distributions Function - V.mp4 (123.8 MB)
    • 9. Building Probability Distributions Function - V.srt (28.4 KB)
    6. Wrapping Up
    • 1. Wrapping Up.mp4 (7.1 MB)
    • 1. Wrapping Up.srt (1.8 KB)
    • Bonus Resources.txt (0.3 KB)

Description

Complete Statistics BootCamp: Hands-On with Python



https://TutSala.com

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.53 GB | Duration: 8h 18m
Learn how to apply probability and statistics to real data science and business applications using an hands-on approach
What you'll learn
Understand the fundamentals of statistics
Visualizing data, including bar graphs, , histograms, and scatter plots
Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
Probability, independent and dependent events and Bayes' theorem
Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
Hypothesis testing, including inferential statistics, significance levels, type I and II errors, test statistics, and p-values
Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE,
Extensive Case Studies that will help you reinforce everything you’ve learned
Build hands-on statistical toolset from scratch using Python

Description
Welcome to Complete Statistics BootCamp: Hands-On with Python

This course will cover all the core statistics knowledge required to succeed in data science, machine learning, or business analytics.

This practical course will go over hands-on implementation of statistics knowledge on real-world problems using Python programming language.



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Udemy - Complete Statistics BootCamp - Hands-On with Python

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2.5 GB
seeders:12
leechers:16
Udemy - Complete Statistics BootCamp - Hands-On with Python

Torrent hash: 7782379B6D90666AA66CC8751C31C9DBB0766587