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Udemy - Machine Learning Project - Heart Attack Prediction Analysis

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[ DevCourseWeb.com ] Machine Learning Project: Heart Attack Prediction Analysis



If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com







Published 05/2022

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + srt | Duration: 53 lectures (7h 23m) | Size: 2.2 GB



Data Science & Machine Learning - Boost your Machine Learning, statistics skills with real heart attack analysis project



What you'll learn

Machine learning describes systems that make predictions using a model trained on real-world data.

Machine learning isn’t just useful for predictive texting or smartphone voice recognition.

Data science uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction.

Data science includes preparing, analyzing, and processing data. It draws from many scientific fields, and as a science, it progresses by creating new algorithm

Data Scientists use machine learning to discover hidden patterns in large amounts of raw data to shed light on real problems.

First Step to the Project

Notebook Design to be Used in the Project

Examining the Project Topic

Recognizing Variables in Dataset

Required Python Libraries

Loading the Dataset

Initial analysis on the dataset

Examining Missing Values

Examining Unique Values

Separating variables (Numeric or Categorical)

Examining Statistics of Variables

Numeric Variables (Analysis with Distplot)

Categoric Variables (Analysis with Pie Chart)

Examining the Missing Data According to the Analysis Result

Numeric Variables – Target Variable (Analysis with FacetGrid)

Categoric Variables – Target Variable (Analysis with Count Plot)

Examining Numeric Variables Among Themselves (Analysis with Pair Plot)

Feature Scaling with the Robust Scaler Method for New Visualization

Creating a New DataFrame with the Melt() Function

Numerical - Categorical Variables (Analysis with Swarm Plot)

Numerical - Categorical Variables (Analysis with Box Plot)

Relationships between variables (Analysis with Heatmap)

Dropping Columns with Low Correlation

Visualizing Outliers

Dealing with Outliers

Determining Distributions of Numeric Variables

Transformation Operations on Unsymmetrical Data

Applying One Hot Encoding Method to Categorical Variables

Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms

Separating Data into Test and Training Set

Logistic Regression

Cross Validation for Logistic Regression Algorithm

Roc Curve and Area Under Curve (AUC) for Logistic Regression Algorithm

Hyperparameter Optimization (with GridSearchCV) for Logistic Regression Algorithm

Decision Tree Algorithm

Support Vector Machine Algorithm

Random Forest Algorithm

Hyperparameter Optimization (with GridSearchCV) for Random Forest Algorithm

Project Conclusion and Sharing



Requirements

Desire to master on machine learning a-z, python, data science, statistics

Knowledge of Python Programming Language

Knowledge of data visualization libraries like Seaborn, Matplotlib in Python

Knowledge of basic Machine Learning

Be Able to Operate & Install Software On A Computer

Free software and tools used during the course

Determination to learn and patience.



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File list
  • Udemy - Machine Learning Project - Heart Attack Prediction Analysis
  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.mp4 108.6 MB
  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/1. First Step to the Hearth Attack Prediction Project.srt 21.4 KB
  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/2. FAQ about Machine Learning, Data Science.html 15.3 KB
  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.mp4 97.7 MB
  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/3. Notebook Design to be Used in the Project.srt 20.3 KB
  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/4. Project Link File - Hearth Attack Prediction Project, Machine Learning.html 108 B
  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/5. Examining the Project Topic.mp4 71.7 MB
  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/5. Examining the Project Topic.srt 13.9 KB
  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.mp4 115.3 MB
  • ~Get Your Files Here !/1. Introduction to Machine Learning with Real Hearth Attack Prediction Project/6. Recognizing Variables In Dataset.srt 23.8 KB
  • ~Get Your Files Here !/2. First Organization/1. Required Python Libraries.mp4 58.8 MB
  • ~Get Your Files Here !/2. First Organization/1. Required Python Libraries.srt 12.8 KB
  • ~Get Your Files Here !/2. First Organization/2. Loading the Statistics Dataset in Data Science.mp4 9.3 MB
  • ~Get Your Files Here !/2. First Organization/2. Loading the Statistics Dataset in Data Science.srt 2.7 KB
  • ~Get Your Files Here !/2. First Organization/3. Initial analysis on the dataset.mp4 58.7 MB
  • ~Get Your Files Here !/2. First Organization/3. Initial analysis on the dataset.srt 18.2 KB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/1. Examining Missing Values.mp4 42.4 MB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/1. Examining Missing Values.srt 13.2 KB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/2. Examining Unique Values.mp4 41 MB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/2. Examining Unique Values.srt 12.9 KB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/3. Separating variables (Numeric or Categorical).mp4 14.7 MB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/3. Separating variables (Numeric or Categorical).srt 4.6 KB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.mp4 84.3 MB
  • ~Get Your Files Here !/3. Preparation For Exploratory Data Analysis (EDA) in Data Science/4. Examining Statistics of Variables.srt 24.6 KB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/1. Numeric Variables (Analysis with Distplot) Lesson 1.mp4 74.6 MB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/1. Numeric Variables (Analysis with Distplot) Lesson 1.srt 20.2 KB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/2. Numeric Variables (Analysis with Distplot) Lesson 2.mp4 18.3 MB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/2. Numeric Variables (Analysis with Distplot) Lesson 2.srt 5.3 KB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/3. Categoric Variables (Analysis with Pie Chart) Lesson 1.mp4 69 MB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/3. Categoric Variables (Analysis with Pie Chart) Lesson 1.srt 19.7 KB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.mp4 78 MB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/4. Categoric Variables (Analysis with Pie Chart) Lesson 2.srt 20.9 KB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/5. Examining the Missing Data According to the Analysis Result.mp4 50 MB
  • ~Get Your Files Here !/4. Exploratory Data Analysis (EDA) - Uni-variate Analysis/5. Examining the Missing Data According to the Analysis Result.srt 13.9 KB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.mp4 45.3 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/1. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 1.srt 11.3 KB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.mp4 64 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/10. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 2.srt 15.4 KB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.mp4 36 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/11. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 1.srt 10.1 KB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.mp4 32.8 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/12. Numerical - Categorical Variables (Analysis with Box Plot) Lesson 2.srt 10.3 KB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/13. Relationships between variables (Analysis with Heatmap) Lesson 1.mp4 33.7 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/13. Relationships between variables (Analysis with Heatmap) Lesson 1.srt 8.7 KB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/14. Relationships between variables (Analysis with Heatmap) Lesson 2.mp4 82.5 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/14. Relationships between variables (Analysis with Heatmap) Lesson 2.srt 16 KB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.mp4 32.8 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/2. Numeric Variables – Target Variable (Analysis with FacetGrid) Lesson 2.srt 9.7 KB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.mp4 22.3 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/3. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 1.srt 5 KB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.mp4 52.3 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/4. Categoric Variables – Target Variable (Analysis with Count Plot) Lesson 2.srt 16.7 KB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.mp4 26.6 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/5. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 1.srt 7.1 KB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.mp4 43.9 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/6. Examining Numeric Variables Among Themselves (Analysis with Pair Plot) Lesson 2.srt 8.9 KB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/7. Feature Scaling with the Robust Scaler Method.mp4 32.6 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/7. Feature Scaling with the Robust Scaler Method.srt 11.7 KB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Creating a New DataFrame with the Melt() Function.mp4 48.8 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/8. Creating a New DataFrame with the Melt() Function.srt 15.1 KB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.mp4 39.3 MB
  • ~Get Your Files Here !/5. Exploratory Data Analysis (EDA) - Bi-variate Analysis/9. Numerical - Categorical Variables (Analysis with Swarm Plot) Lesson 1.srt 8.3 KB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/1. Dropping Columns with Low Correlation.mp4 24.8 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/1. Dropping Columns with Low Correlation.srt 5.2 KB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.mp4 10.6 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/10. Feature Scaling with the Robust Scaler Method for Machine Learning Algorithms.srt 3.1 KB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/11. Separating Data into Test and Training Set.mp4 27.8 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/11. Separating Data into Test and Training Set.srt 9.4 KB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/2. Visualizing Outliers.mp4 32.7 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/2. Visualizing Outliers.srt 11.9 KB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/3. Dealing with Outliers – Trtbps Variable Lesson 1.mp4 40 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/3. Dealing with Outliers – Trtbps Variable Lesson 1.srt 13.7 KB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/4. Dealing with Outliers – Trtbps Variable Lesson 2.mp4 40.8 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/4. Dealing with Outliers – Trtbps Variable Lesson 2.srt 15.2 KB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/5. Dealing with Outliers – Thalach Variable.mp4 33.7 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/5. Dealing with Outliers – Thalach Variable.srt 11.2 KB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/6. Dealing with Outliers – Oldpeak Variable.mp4 33.3 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/6. Dealing with Outliers – Oldpeak Variable.srt 11 KB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/7. Determining Distributions of Numeric Variables.mp4 23.3 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/7. Determining Distributions of Numeric Variables.srt 6.5 KB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/8. Transformation Operations on Unsymmetrical Data.mp4 22.2 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/8. Transformation Operations on Unsymmetrical Data.srt 6.3 KB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/9. Applying One Hot Encoding Method to Categorical Variables.mp4 22.4 MB
  • ~Get Your Files Here !/6. Preparation for Modelling in Machine Learning/9. Applying One Hot Encoding Method to Categorical Variables.srt 7.6 KB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/1. Logistic Regression.mp4 27.3 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/1. Logistic Regression.srt 9.1 KB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/2. Cross Validation.mp4 28.2 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/2. Cross Validation.srt 7.6 KB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/3. Roc Curve and Area Under Curve (AUC).mp4 38.6 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/3. Roc Curve and Area Under Curve (AUC).srt 10.2 KB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/4. Hyperparameter Optimization (with GridSearchCV).mp4 54.7 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/4. Hyperparameter Optimization (with GridSearchCV).srt 17.4 KB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/5. Decision Tree Algorithm.mp4 24 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/5. Decision Tree Algorithm.srt 7.4 KB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/6. Support Vector Machine Algorithm.mp4 22.7 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/6. Support Vector Machine Algorithm.srt 6.6 KB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/7. Random Forest Algorithm.mp4 27.7 MB
  • ~Get Your Files Here !/7. Modelling for Machine Learning/7. Random Forest Algorithm.srt 8.4 KB

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