9811272031

**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

9811272031

INCAPP is a leading coding institute committed to providing high-quality training programs to students, professionals, and organizations. We aim to empower individuals with the coding skills to achieve personal and professional growth and help organizations enhance the productivity and effectiveness of their workforce.

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Top-class instructors who are experts in their fields, teach with practical training.

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Understand all the concepts with proper assignments.

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Dedicate assistance to clear the doubts.

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Understand the complete technology with project work under the guidance of your instructor.

We foster innovation and empower aspiring coders. As the founder, We are excited to have you join us. Whether you're new to coding or experienced, our hands-on curriculum and expert instructors will guide you. Coding is about more than lines; it's creativity and problem-solving. Embrace challenges and celebrate successes, knowing that coding is a journey of growth. Let’s get started!

Great students deserve the best learning environment. At INCAPP, you are guaranteed a superior learning experience and a personalized support system to achieve success.

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"All of my friends who have younger siblings who are going to college or high school - my number one piece of advice is: You should learn how to program."

**- Mark Zuckerberg**

"Everyone should learn how to program a computer, because it teaches you how to think."

**- Steve Jobs**

**Q: What are the criteria for admission?**

**A:** No criteria, anybody who has an interest in coding can join.

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