Machine Learning & Data Science Course: Unlocking the Future

Machine Learning & Data Science Course: Unlocking the Future, available at $54.99, with 12 lectures.

You will learn about Python Programming Pandas for Data Analysis Machine Learning Concepts A Real Life Project : Stock Price Prediction with Machine Learning This course is ideal for individuals who are Anyone interested in machine learning and data science or College students or Software engineers It is particularly useful for Anyone interested in machine learning and data science or College students or Software engineers.

Enroll now: Machine Learning & Data Science Course: Unlocking the Future

Summary

Title: Machine Learning & Data Science Course: Unlocking the Future

Price: $54.99

Number of Lectures: 12

Number of Published Lectures: 12

Number of Curriculum Items: 12

Number of Published Curriculum Objects: 12

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

Python Programming
Pandas for Data Analysis
Machine Learning Concepts
A Real Life Project : Stock Price Prediction with Machine Learning

Who Should Attend

Anyone interested in machine learning and data science
College students
Software engineers

Target Audiences

Anyone interested in machine learning and data science
College students
Software engineers

Welcome to our Data Science and Machine Learning course, meticulously crafted for those passionate about leveraging data and developing sophisticated models. This program starts with the fundamentals of data science, where you’ll learn to collect, clean, and analyze data using Python libraries like pandas and NumPy. We’ll cover essential data visualization techniques to transform raw data into meaningful insights that drive decision-making.

As you advance, we will delve into a range of machine learning algorithms, including both supervised and unsupervised methods. You’ll gain hands-on experience with practical applications such as regression, classification, clustering, and dimensionality reduction. Our approach ensures that you not only understand theoretical concepts but also apply them to real-world scenarios through engaging projects

The culmination of the course involves building a stock prediction tool, allowing you to apply your accumulated knowledge to a practical problem. This final project will showcase your ability to develop, implement, and evaluate predictive models, demonstrating your readiness for real-world challenges. By the end of this course, you’ll possess a solid foundation in data science and machine learning, equipping you to tackle complex challenges and make valuable contributions in any industry. Join us to unlock your potential and advance your career in this dynamic and rapidly evolving field!

Course Curriculum

Chapter 1: Introduction

Lecture 1: What you will learn

Lecture 2: Introduction to Data Science

Chapter 2: Python Programming

Lecture 1: Installations

Lecture 2: Jupyter

Lecture 3: Python basics

Chapter 3: Pandas Data Manipulation

Lecture 1: Creating a Pandas Series from a List

Lecture 2: Creating a Pandas Series from a dictionnary

Lecture 3: Creating a DataFrame

Lecture 4: Working with Datasets

Lecture 5: Data Transformation, Analysis, and Visualization

Chapter 4: Machine Learning

Lecture 1: Machine Learning

Chapter 5: Real Life Project

Lecture 1: Predicting Nvidia Stock Prices: A Machine Learning Approach Using Historical Dat

Instructors

Adam Almounayar
Software engineer

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 0 votes
5 stars: 0 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu