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Machine Learning and Data Science A-Z Hands-on Python 2021
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6.77 GiB (7271363168 Bytes)
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tuts756
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10AFAC13462941CA755ED4719DB0F5CF20D452D2




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Description

Are you interested in data science and machine learning, but you don’t have any background, and you find the concepts confusing?

Are you interested in programming in Python, but you always afraid of coding?

I think this course is for you!

Even if you are familiar with machine learning, this course can help you to review all the techniques and understand the concept behind each term.

This course is completely categorized, and we don’t start from the middle! We actually start from the concept of every term, and then we try to implement it in Python step by step. The structure of the course is as follows:

Chapter1: Introduction and all required installations

Chapter2: Useful Machine Learning libraries (NumPy, Pandas & Matplotlib)

Chapter3: Preprocessing

Chapter4: Machine Learning Types

Chapter5: Supervised Learning: Classification

Chapter6: Supervised Learning: Regression

Chapter7: Unsupervised Learning: Clustering

Chapter8: Model Tuning

Furthermore, you learn how to work with different real datasets and use them for developing your models. All the Python code templates that we write during the course together are available, and you can download them with the resource button of each section.

Remember! That this course is created for you with any background as all the concepts will be explained from the basic! Also, the programming in Python will be explained from the basic coding, and you just need to know the syntax of Python.
Who this course is for:

    Anyone with any background that interested in Data Science and Machine Learning with at least high school knowledge in mathematic
    Beginners, intermediate and even advanced students in the field of artificial intelligence, Data Science and Machine Learning
    Students in college that looking for securing their future jobs
    Employees that look forward to excel their job level by learning machine learning
    Anyone who afraid of coding in Python but interested in Machine Learning Concepts
    Any one who wants to create a new business using machine learning
    Graduate students and researchers that want to apply machine learning models in their thesis and projects

Requirements

    Python’s basic syntax

Last Updated 3/2021

[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/8. Random Forest Model Development.mp4246.24 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/6. Missing Values2.srt22.39 KiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/12. Model Evaluation Concepts.srt19.29 KiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/3. k-NN Model Development.srt16.51 KiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/8. Hyper Parameter Optimization (Model Tuning)/2. Support Vector Regression - Model Tuning.srt13.57 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/11.1 Data_Set.csv58 B
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/7. Outlier Detection1.srt13.32 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.srt13.05 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/3. Evaluation Metrics - Concepts.srt12.64 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/11. Logistic Regression Model Development.srt11.95 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/6. K-means - Model Evaluation.srt11.55 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/2. k-NN Concepts.srt11.54 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/10. Support Vector Regression Model Development.srt11.43 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/2. K-means Concepts1.srt11.27 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/8. Hyper Parameter Optimization (Model Tuning)/5. Overfitting and Underfitting.srt11.2 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/8. DBSCAN Model Development.srt10.41 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/17. Chapter 2 Quiz.html16 B
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/2. Statistics1.srt10.14 KiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/1.1 Data_Set.csv58 B
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/10.1 Data_New.csv201 B
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/13. Chapter3 Quiz.html16 B
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/4. Machine Learning Introduction/2. Chapter 4 Quiz.html16 B
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/14. Chapter 5 Quiz.html16 B
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/11. Chapter 6 Quiz.html16 B
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/11. Chapter 7 Quiz.html16 B
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4233.75 MiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/7. Decision Tree - Cross Validation.srt9.69 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/1. Introduction/7. Spyder Interface.srt8.94 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/4. Machine Learning Introduction/1. Learning Types.srt8.92 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/2. Multiple Linear Regression - Model Development.srt8.72 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/1. Introduction/6. Installation of Required Libraries.srt8.57 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/1. Introduction.srt8.33 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/2. NumPy1.srt8.21 KiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/9. Support Vector Regression Concepts.srt7.5 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/1.1 Python Source Codes.zip7.46 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/7. Random Forest Concepts.srt7.43 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/3. K-means Concepts2.srt7.15 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/1. Introduction/2. What is Machine Learning Some Basic Terms.srt7.11 KiB
[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/6. Decision Tree Model Development.srt7.03 KiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/9. Hierarchical Clustering Concepts.srt6.53 KiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/7. DBSCAN Concepts.srt6.28 KiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/4. k-NN Training-Set and Test-Set Creation.mp4228.42 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/6. Missing Values2.mp4219.38 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/1. Simple and Multiple Linear Regression Concepts.mp4212.19 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/3. Statistics2.mp4207.49 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4206.95 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4205.24 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4203.04 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/12. Normalization.mp4186.87 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4142.99 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/3. k-NN Model Development.mp4140.65 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4133.64 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/8. Outlier Detection2.mp4130.67 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/4. Statistics3 - Covariance.mp4107.48 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/12. Visualization with Matplotlib1.mp499.45 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/8. Pandas1.mp495.61 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/8. DBSCAN Model Development.mp486.87 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/2. Machine Learning Useful Packages (Libraries)/4. NumPy3.mp484.52 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/12. Model Evaluation Concepts.mp483.47 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/2. Multiple Linear Regression - Model Development.mp475.59 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/7. Outlier Detection1.mp473.2 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/8. Hyper Parameter Optimization (Model Tuning)/5. Overfitting and Underfitting.mp472.09 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/1. Introduction/6. Installation of Required Libraries.mp470.78 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/6. Decision Tree Model Development.mp466.84 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/10. Concatenation.mp465.88 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/7. Decision Tree - Cross Validation.mp454.64 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/3. Evaluation Metrics - Concepts.mp449.47 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/2. k-NN Concepts.mp448.03 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/1. Introduction/7. Spyder Interface.mp446.36 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/4. Machine Learning Introduction/1. Learning Types.mp445.44 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/2. K-means Concepts1.mp444.53 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/1. Introduction.mp438.11 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/3. Data Preprocessing/2. Statistics1.mp434.04 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/6. Supervised Learning - Regression/5. Polynomial Linear Regression Concepts.mp426.39 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/1. Introduction/2. What is Machine Learning Some Basic Terms.mp425.82 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/5. Supervised Learning - Classification/5. Decision Tree Concepts.mp425.62 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/7. Unsupervised Learning - Clustering Techniques/9. Hierarchical Clustering Concepts.mp424.29 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/1. Introduction/5. IDE Installation.mp422.28 MiB
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[TutsNode.com] - Machine Learning & Data Science A-Z Hands-on Python 2021/1. Introduction/1. Course Content.mp417.07 MiB
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