**Data science** is a "concept to unify statistics, data analysis, informatics, and their related methods" in order to "understand and analyze actual phenomena" with data.

**Machine learning (ML)** is the study of computer algorithms that improve automatically through experience and by the use of data.

- What is Data Science?
- Need of Data Science
- Applications of Data Science
- Libraries used in Data Science

- Introduction to NumPy Library
- Creating NumPy Arrays
- Numpy Array Indexing
- Numpy Array Slicing
- Numpy Array Operations

- Introduction to Pandas Library
- Creating Series
- Accessing Series
- Creating DataFrames
- Accessing DataFrames
- Adding and Removing Rows in DataFrame
- Adding and Removing Columns in DataFrame
- Working with Missing Values in DataFrame
- Iterating elements of DataFrame
- Descriptive statistics in DataFrame
- Creating DataFrame from CSV file
- Writing DataFrame data into a CSV file

- Matplotlib Library
- Introduction to Matplotlib Library
- Creating a Line Plot
- Formatting a Line Plot
- Creating a Bar Plot
- Formatting a Bar Plot
- Creating a Scatter Plot
- Formatting a Scatter Plot
- Creating a Histogram Plot
- Formatting a Histogram Plot
- Creating a Box Plot
- Formatting a Box Plot
- Creating a Pie Plot
- Formatting a Pie Plot

- Introduction to Seaborn Library
- Distribution Plots
- Categorical Plots
- Matrix Plots
- Grids
- Regression Plots
- Styling and Coloring Plots

- What is Machine Learning?
- Need of Machine Learning
- History of Machine Learning
- Applications of Machine Learning
- Libraries used in Machine Learning
- Types of Machine Learning Algorithm

- Linear Regression Algorithm Concept
- Linear Regression Algorithm Program Implementation

- Logistic Regression Algorithm Concept
- Logistic Regression Algorithm Program Implementation

- Logistic Regression Algorithm Concept
- Logistic Regression Algorithm Program Implementation

- KNN Algorithm Concept
- KNN Algorithm Program Implementation

- Naive Bayes Algorithm Concept
- Naive Bayes Algorithm Implementation

- Decision Tree Algorithm Concept
- Decision Tree Algorithm Program Implementation

- Random Forest Algorithm Concept
- Random Forest Algorithm Program Implementation

- Support Vector Algorithm Concept
- Support Vector Algorithm Program Implementation

- K-Means Algorithm
- K-Means Algorithm Concept
- K-Means Algorithm Program Implementation

- ANN Algorithm
- ANN Algorithm Concept
- ANN Algorithm Program Implementation

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