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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
Filename
Size
~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
