The Complete Visual Guide To Machine Learning & Data Science

ดาวน์โหลดคอร์สเรียน The Complete Visual Guide To Machine Learning & Data Science ฟรี

3.36 GBFOR EDUCATIONAL PURPOSES ONLYCourse 1
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ดาวน์โหลด

ดาวน์โหลด The Complete Visual Guide To Machine Learning & Data Science

 

หมวดหมู่ (Category) : Development / Data Science / Machine Learning

ข้อมูลไฟล์ (File Info) :

  • Published 3/2023
  • MP4 Video: h264, 1280×720 Audio: AAC, 44.1 KHz
  • Language: English Size: 3.20 GB Duration: 8h 51m

Explore Data Science & Machine Learning topics with simple, step-by-step demos and user-friendly Excel models (NO code!)

สิ่งที่คุณจะได้เรียนรู้ (What you’ll learn) :

  • Build foundational machine learning & data science skills WITHOUT writing complex code
  • Play with interactive, user-friendly Excel models to learn how machine learning techniques actually work
  • Enrich datasets using feature engineering techniques like one-hot encoding, scaling and discretization
  • Predict categorical outcomes using classification models like K-nearest neighbors, naïve bayes, and decision trees
  • Build accurate forecasts and projections using linear and non-linear regression models
  • Apply powerful techniques for clustering, association mining, outlier detection, and dimensionality reduction
  • Learn how to select and tune models to optimize performance, reduce bias, and minimize drift
  • Explore unique, hands-on case studies to simulate how machine learning can be applied to real-world cases

ข้อกำหนด (Requirements) :

  • This is a beginner-friendly course (no prior knowledge or math/stats background required)
  • We’ll use Microsoft Excel (Office 365) for some course demos, but participation is optional

คำอธิบาย (Description) :

This course is for everyday people looking for an intuitive, beginner-friendly introduction to the world of machine learning and data science.

Build confidence with guided, step-by-step demos, and learn foundational skills from the ground up. Instead of memorizing complex math or learning a new coding language, we’ll break down and explore machine learning techniques to help you understand exactly how and why they work.

Follow along with simple, visual examples and interact with user-friendly, Excel-based models to learn topics like linear and logistic regression, decision trees, KNN, naïve bayes, hierarchical clustering, sentiment analysis, and more – without writing a SINGLE LINE of code.

…

คอร์สนี้เหมาะกับใคร (Who this course is for) :

  • Anyone looking to learn the foundations of machine learning through interactive, beginner-friendly demos
  • Data Analysts or BI experts looking to transition into data science or build a fundamental understanding of machine learning
  • R or Python users seeking a deeper understanding of the models and algorithms behind their code
  • Excel users who want to learn and apply powerful tools for predictive analytics

เนื้อหาหลักสูตร (Overview) :

Getting Started
4 lectures • 8min

PART 1: QA & Data Profiling
1 lecture • 2min

Intro to the ML Landscape
4 lectures • 6min

Preliminary Data QA
10 lectures • 34min

Univariate Profiling
19 lectures • 46min

Multivariate Profiling
15 lectures • 38min

PART 2: Classification Modeling
1 lecture • 2min

Intro to Classification
8 lectures • 23min

Classification Models
25 lectures • 1hr 34min

Model Selection & Tuning
10 lectures • 23min

PART 3: Regression & Forecasting
1 lecture • 1min

Intro to Regression
5 lectures • 12min

Regression Modeling 101
8 lectures • 39min

Model Diagnostics
11 lectures • 31min

Time-Series Forecasting
15 lectures • 57min

PART 4: Unsupervised Learning
1 lecture • 1min

Intro to Unsupervised ML
5 lectures • 8min

Clustering & Segmentation
10 lectures • 32min

Association Mining & Basket Analysis
11 lectures • 35min

Outlier Detection
8 lectures • 21min

Dimensionality Reduction
8 lectures • 15min

Wrapping Up
2 lectures • 2min

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ตัวอย่างหลักสูตร
(Course Preview)

The Complete Visual Guide to Machine Learning Data Science

Requirements

This is a beginner-friendly course (no prior knowledge or math/stats background required)
We'll use Microsoft Excel (Office 365) for some course demos, but participation is optional

ข้อมูลไฟล์ (File Info)

Official Website : www.udemy.com/course/visual-guide-to-machine-learning/
License : FOR EDUCATIONAL PURPOSES ONLY
ชื่อไฟล์ : The Complete Visual Guide to Machine Learning Data Science.rar
ขนาดไฟล์ : 3.36 GB
นามสกุลไฟล์ : *.rar
Server : Google Drive
วันที่อัพโหลด : 29/03/2023
แก้ไขล่าสุด : 14/08/2023 แก้ไขลิ้งค์แล้ว
รหัสผ่าน : sbz

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