Udemy - Machine Learning Prediction Model from Scratch for Everyo...
- Category Other
- Type Tutorials
- Language English
- Total size 549.6 MB
- Uploaded By freecoursewb
- Downloads 219
- Last checked 3 days ago
- Date uploaded 2 years ago
- Seeders 10
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Infohash : 07DF0F841115BB43354783308FE21AD858B3E40E
Machine Learning Prediction Model from Scratch for Everyone
https://DevCourseWeb.com
Published 9/2023
Created by Mehedi Hasan Abid
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 13 Lectures ( 56m ) | Size: 550 MB
From Scratch (Data Collection to Apply Algorithms) learn to Develop NaΓ―ve Bayes | Random Forest | SVM and Much More
What you'll learn
Machine learning fundamentals: supervised, unsupervised, reinforcement learning, and practical applications.
Master data preprocessing: handle missing data, scale features, and transform datasets for ML.
Explore various ML algorithms, understanding when and how to use them effectively
Evaluate models with metrics like accuracy, precision, recall, and understand the importance of cross-validation.
Develop coding skills from scratch, understanding the inner workings of ML models.
Engage in hands-on projects, building a portfolio nstrating practical ML expertise.
And Finally publish Research Articles or do project with own understanding
Requirements
No prerequisites required. You will learn everything you need to know.
Files:
[ DevCourseWeb.com ] Udemy - Machine Learning Prediction Model from Scratch for Everyone- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Basics Of Machine Learning
- 1. Overview of the course and Resource Materials.mp4 (39.6 MB)
- 1.1 dataset1.1.csv (1.9 KB)
- 1.2 depression_prediction_code.ipynb (102.3 KB)
- 2. Introduction.mp4 (19.3 MB)
- 3. Types of Machine Learning.mp4 (26.5 MB)
- 1. Designing Form for Data Collection.mp4 (60.1 MB)
- 2. Data Preprocessing.mp4 (60.1 MB)
- 3. Data Preprocessing and preparation.mp4 (49.0 MB)
- 1. Introduction to Google Collab and Python.mp4 (41.6 MB)
- 2. Importing Dataset and Preparation at Google Colab.mp4 (56.3 MB)
- 3. Data Analysis with Python Libraries.mp4 (34.4 MB)
- 4. Prediction Model Naive Bayes and Random Forest.mp4 (37.3 MB)
- 5. Prediction Model SVM with Confusion Matrix.mp4 (70.4 MB)
- 6. Testing Model with Random Data.mp4 (33.3 MB)
- 1. Congratulations and Future Direction.mp4 (21.7 MB)
- 2. QUIZ.html (0.2 KB)
- Bonus Resources.txt (0.4 KB)
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