A Practical Approach Learn by Implementing
What you will learn
Downloading and Installing the required Files for Data Science and Machine learning
All about Numpy : array manipulation , slicing , transpose , and all functions of it etc..
How to Use Python for Data Science and Machine Learning
Learn to use Pandas for Data Analysis
A-Z pandas
Exploratory Data Analysis
Problem Solving Skills based on Data Science and Ml problems.
Statistics Required For Data Science and Machine Learning
Stock Data Analysis
Working with Different Datasets and Making Predictions
Applying Decision tree classifier , Naive bayes and other Machine Learning Models to solve the problems
Understanding Regression and Correlation
Building Regression Model to deal with house price prediction
Text Data Extraction from Image
Kmeans and Hierarchical Clustering etc..
Why take this course?
🎓 Master Python for Data Science and Machine Learning with a Practical Approach
Course Title: Python for Data Science and Machine Learning
Headline: A Practical Approach to Learning – Implement and Perform!
Overview:
Dive into the world of Data Science and Machine Learning with our comprehensive course designed for learners at all levels. No prior knowledge of Python is required, but we recommend a quick review of Python fundamentals provided in the course material to ensure you’re ready to hit the ground running. 🚀
What You’ll Learn:
- Hands-On Assignments: Engage with real-world data science tasks, including:
- Stock analysis 📊
- Text extraction 📝
- Data set manipulation 💻
- Algorithm application 🛠️
- Essential Libraries & Tools: Master the use of key libraries and tools such as:
- NumPy 🔢
- Pandas 📚
- Seaborn 🎨
- Matplotlib 🖼️
- Plotly 🌐
- Scikit-Learn 🧠
- Machine Learning concepts 🤖
(And more!)
Course Highlights:
- For All Levels: This course is tailored for beginners with some programming experience or experienced developers looking to transition into Data Science.
- Comprehensive Learning Experience: Get a deep understanding of data cleaning, data preprocessing, and the methodologies behind effective data analysis and machine learning applications.
- Up-to-Date Content: Ensure your skills are current with the latest codes and practices in the field.
Who This Course Is For:
- Aspiring Machine Learning enthusiasts 🧠
- High school students with a math background interested in Data Science (college students too!)
- Intermediate level folks who know basic machine learning algorithms and want to delve deeper
- Individuals not comfortable with coding but intrigued by Machine Learning
- Those aiming for a career in Data Science or looking to enhance their current role
- People seeking to apply Machine Learning to add value to their business
- Students in Data Science programs
- Anyone curious and eager to learn 🏫
Instructor: Kumar Rajmani B
Kumar is an expert in Data Science and Machine Learning with a passion for teaching and a commitment to keeping his content fresh and relevant. He brings years of experience in the field to provide you with the most practical, hands-on learning experience possible.
Stay Updated & Productive:
This course is just the beginning. Stay tuned for more courses covering the latest trends in Computer Science Engineering and Data Science! We encourage you to provide your valuable feedback and ratings to help us improve. 🌟
Join Our Learning Community:
Whether you’re looking to transform your career, enhance your business, or simply satisfy your curiosity, this course is designed to empower you with the knowledge and skills needed to succeed in Data Science and Machine Learning. 💡
Thank You & Stay Safe:
In these challenging times, it’s more important than ever to continue upgrading your skills and staying informed about the future of technology. We hope this course helps you stay productive, updated, and safe from home.
Let’s embark on this journey of learning together! 🌱✨