Build Your First ML Model Using Python

About Course

Data Science is one of the fastest growing fields in technology. Get the dream job of Data scientist by mastering the skills you need to analyze data with SQL and Python.

Objective of the program

Build your first Machine Learning model using Python
Learn Python from beginner to expert level

Topics Covered

Introduction to Machine Learning
Operators
Variables & Datatypes
Conditional Statements & Loop
Data Structures
Functions
Standard Libraries
Numpy
Data Visualization using Matplotlib
Pandas
Build your first ML model

Why choose this program?

Certification Program
Self paced, with tons of additional learning materials to refer
No prior programming knowledge needed
A dedicated mail id for query support and guidance, unlike other online courses
11 modules – Step by step approach to guide you from basics
2 Assignments for practice
Quiz for every module to test your understanding

Key Takeaways

Learn Python from the basics
Understand how AI is implemented
Get market ready by creating your first AI Prediction Machine

Foundations of Machine Learning: Gain a clear understanding of what machine learning is, its applications, and its significance in the field of artificial intelligence.
Python Programming: Start from the basics and progress to advanced concepts in Python programming, including operators, variables, and data types.
Control Flow and Data Structures: Learn how to use conditional statements, loops, and data structures to control the flow of your programs and manage data effectively.
Functions and Libraries: Discover how to define and use functions in Python, along with an introduction to essential libraries that simplify complex tasks in data analysis and machine learning.
Data Handling with Numpy and Pandas: Master data manipulation and analysis using Numpy for numerical data and Pandas for structured data, enabling efficient data handling.
Data Visualization with Matplotlib: Learn to create insightful visualizations that help communicate your data analysis effectively, making complex information more understandable.
Building Your First Machine Learning Model: Apply your knowledge to build your very first machine learning model, learning the steps from data preparation to model training and evaluation.
Practical Skills for the Job Market: Equip yourself with the skills necessary to create an AI prediction machine, preparing you for real-world applications and making you market-ready.

Course Content

Introduction to ML and Python

Introduction to ML and Python

05:22
Introduction to ML

07:10
Machine Learning Approaches

07:44
Machine Learning Implementation & Fundamental Theories

06:37
Languages to implement ML

10:17
Why Python for ML?

10:19
Let us install Python

04:33
Reference: Machine Learning
Module Quiz: Machine Learning

Exploring Operators

Data types and Variables

Conditional Statements and Loops

Data Structures

Understanding Functions

Python Libraries

Data Visualization using MatPlotLib Library
Data Visualization using MatPlotLib Library

Data Manipulation using Pandas
Data Manipulation using Pandas

Build your first ML Model
Build your first ML Model

Certification Exam
30 questions in 45 minutes. Two attempts allowed per user to get 80% in this certification exam.

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

About Course

What Will You Learn?

Course Content

Introduction to ML and Python

Introduction to ML and Python

Introduction to ML

Machine Learning Approaches

Machine Learning Implementation & Fundamental Theories

Languages to implement ML

Why Python for ML?

Let us install Python

Reference: Machine Learning

Module Quiz: Machine Learning

Exploring Operators

Python Operators

Bitwise and Membership Operators

Python Operators – Hands On

Module Quiz: Python Operators

Data types and Variables

Understanding Data types and Variables

Understanding Data types and Variables – Hands On

Module Quiz: Data Types & Variables

Conditional Statements and Loops

Understanding Conditional Statements and Loops

Python Loops

Conditional Statements in Python

For loops

While loop in Python

Module Quiz: Conditional Statements and Loops

Data Structures

Understanding Data structures

Lists in Python – Part 1

Lists in Python – Part 2

Dictionary, Tuples and Sets in Python

Module Quiz: Data Structures

Understanding Functions

Understanding Functions

Built-in Functions in Python

User defined Functions in Python

Lambda Functions in Python

Module Quiz: Functions

Python Libraries

Understanding Standard Library, Modules and Packages

Numpy Library

Numpy in Python – Part 1

Numpy in Python – Part 2

Numpy in Python – Part 3

Module Quiz: Libraries

Data Visualization using MatPlotLib Library Data Visualization using MatPlotLib Library

Understanding Matplotlib Library

Charts using Matplotlib Library

Histogram and Scatter plot in Python

Box plot, Pie chart and Bar chart in Python

Module Quiz: Data Visualization using MatPlotLib Library

Data Manipulation using Pandas Data Manipulation using Pandas

Pandas Library in Python

Pandas Dataframes in Python – Part 1

Pandas Dataframes in Python – Part 2

Pandas Dataframes in Python – Part 3

Data Manipulation using Pandas

Build your first ML Model Build your first ML Model

Titanic Problem Description

How do we approach this problem?

Build your first ML Model EDA

Build your first ML model – Data Preparation

Build your first ML Model – Logistic Regression

Module Quiz: Building your ML model

Certification Exam 30 questions in 45 minutes. Two attempts allowed per user to get 80% in this certification exam.

Certification Exam

Earn a certificate

Quick Links

Offerings

Support

Data Visualization using MatPlotLib Library
Data Visualization using MatPlotLib Library

Data Manipulation using Pandas
Data Manipulation using Pandas

Build your first ML Model
Build your first ML Model

Certification Exam
30 questions in 45 minutes. Two attempts allowed per user to get 80% in this certification exam.