Assured Certification
AI & ML Using Python & Excel
(English)
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Course Highlights
Course Highlights
- Learn The Fundamentals Of Machine Learning, Its Importance, And Real-World Applications Across Industries.
- Explore Key Algorithms Like Linear Regression, KNN, Naive Bayes, and Decision Trees, With Practical Python Code Implementations.
- Understand How To Use Essential Python Libraries For Data Manipulation And Building Models.
- Learn To Handle Missing Values, Outliers, And Prepare Datasets For Training And Testing Using Python.
- Master Evaluation Techniques Like Confusion Matrices, Accuracy, Precision, And Recall To Assess ML Model Performance.
- Use Advanced Excel Functions Such As VLOOKUP, COUNTIF, SUMIF, and Pivot Tables To Organize And Analyze Data Effectively.
- Apply Machine Learning Algorithms On Real-World Datasets, From Data Loading To Model Evaluation, Using Both Python And Excel.
About the Course
6 hrs 10 mins
15 Modules
5 Assignments
4 Projects
980 Subscribers
12 Months Access
Course Structure
- What is Machine learning 3.55
- Need of Machine learning 9.40
- Advantages of Machine Learning 5.50
- Industries using Machine Learning widely 7.18
- Cost-effective solutions driving rapid work progress and efficiency 3.11
- Popular Machine Learning Algorithms 9.33
- Libraries in Python 9.06
- Python functions for Machine Learning Algorithms 7.17
- Loading dataset from various sources in Python 15.13
- Preparing train dataset 4.20
- Preparing test dataset 4.05
- Dataset Splitting: Train & Test Explained 17.22
- Missing Value treatment 10.48
- Treatment of missing value by using Binning 5.53
- Null value treatment 5.54
- Outlier treatment 11.26
- Linear Regression 4.52
- Advantages of Linear Regression 13.53
- Implementation of Linear Regression Using Python Code 5.05
- Multiple linear Regression & Its Implementation Using Python Code 13.01
- Confusion Matrix & Its 4 Quadrants 9.02
- What is Accuracy? 3.21
- What is Precision? 1.49
- What is Recall? 1.51
- Introduction KNN Machine Learning Algorithm 2.27
- Advantages of KNN 4.10
- Implementation of KNN Machine Learning Algorithm Using Python Code 10.32
- Introduction: Naive Bayes Machine Learning Algorithm 2.35
- Advantages of Naive Bayes Machine Learning Algorithm 18.06
- Implementation of Naive Bayes Machine Learning Algorithm Using Python 7.18
- Introduction: Decision Tree Machine Learning Algorithm 2.54
- Advantages of Decision Tree Machine Learning Algorithm 37.03
- Implementation of Decision Tree Machine Learning Algorithm Using Python 8.15
- Implementation of All Machine Learning Algorithms 52.53
- Making Pivot in Excel 9.48
- Applying Formulas Like VLOOKUP, Count if & Sum if etc.. in Excel 20.26
- Concatenating & Match functions in MS -Excel 13.46
- Conclusion 2.56
Your Instructor
Mohd Khurram Shakir
Data Science Consultant
Course FAQs
No, there are no prerequisites for this course. Everything you need to know is covered within the course itself. You only need to stay focused, follow the steps, and practice the concepts across various modules.
Yes! Data Science is a rapidly growing field, and this course will equip you with essential Python and machine learning skills. These in-demand abilities will open up numerous career opportunities and ensure long-term growth as the need for data expertise continues to rise.
Upon completing the course, you’ll have a solid understanding of various Machine Learning algorithms, both mathematically and practically. You can apply this knowledge to build real-world ML projects, working with different algorithms and data sets.
This course is perfect for students, corporate professionals, and anyone looking to learn Machine Learning from the ground up. Whether you’re a beginner or looking to advance your knowledge, this course will guide you through essential ML concepts and techniques.
Upon completing the payment process, you will receive an email confirmation from our team within five minutes. You can then use your login credentials to access the course through the Dashboard, allowing you to learn at your own pace and convenience.
Upon completing the course, you will receive a certificate of completion, which you can download from your Dashboard.
Earn a Certificate
After finishing the course, you will get a Certificate of Completion.
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