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Master Classification with Pandas and Python [2026]
Learn to Master Classification with Pandas and Python for Data Science and Machine Learning [2026]
5.059 reviews1,233 learners
- All Levels
- 39h 44m video
- 73 lectures
- English
- Captions
- Updated 2026
Taught by Henrik Johansson
- 39h 44m of on-demand video
- 73 lectures across 5 sections
- One-off payment — no subscription
- Lifetime access on web and mobile
- Closed captions (English)
Curriculum
5 sections73 lectures39h 44m total
- Introduction16:48
- Setup of the Anaconda Cloud Notebook20:47
- Download and installation of the Anaconda Distribution (optional)20:39
- The Conda Package Management System (optional)46:52
- Overview34:51
- Python Integers26:10
- Python Floats50:14
- Python Strings25:17
- Python String Methods37:37
- Python Strings and DateTime Objects1:06:33
- Python Data Storage Overview4:51
- Python Set28:46
- Python Tuple30:04
- Python Dictionary46:00
- Python List49:51
- Data Transformers and Functions Overview4:30
- Python While-loop45:03
- Python For-loop57:00
- Python Conditional Code Branching and Logic Operators59:00
- Python Function Theory29:34
- Python Functions: create your own functions1:15:51
- Python File Path Theory [Extra Video]15:40
- Python Object Oriented Programming: Some theory18:47
- Python Object Oriented Programming II: create your own custom objects39:20
- Python Object Oriented Programming III: Files and Tables27:17
- Python Object Oriented Programming IV: Recap and More58:21
- Master Pandas for Data Handling: Overview14:32
- Pandas Theory and Terminology15:30
- Creating a Pandas DataFrame from scratch46:00
- Pandas File Handling: Overview5:16
- Pandas File Handling: The .csv file format23:30
- Pandas File Handling: Combine CSV files32:00
- Pandas File Handling: The Excel .xlsx file format38:00
- Pandas File Handling: SQL-database files and Pandas DataFrame27:01
- Pandas Operations & Techniques: Overview5:34
- Pandas Operations & Techniques: Object Inspection19:34
- Pandas Operations & Techniques: DataFrame Inspection18:53
- Pandas Operations & Techniques: Column Selections21:04
- Pandas Operations & Techniques: Row Selections21:11
- Pandas Operations & Techniques: Conditional Selections21:27
- Pandas Operations & Techniques: Scalers and Standardization23:08
- Pandas Operations & Techniques: Concatenate DataFrames29:21
- Pandas Operations & Techniques: Joining DataFrames19:30
- Pandas Operations & Techniques: Merging DataFrames30:48
- Pandas Operations & Techniques: Transpose & Pivot Functions34:31
- Pandas Data Preparation: Overview & workflow8:15
- Pandas Data Preparation II: Edit DataFrame labels20:16
- Pandas Data Preparation III: Duplicates22:23
- Pandas Data Preparation IV: Missing Data & Imputation54:35
- Pandas Data Preparation V: Data Binnings [Extra Video]46:32
- Pandas Data Preparation VI: Indicator Features [Extra Video]33:01
- Pandas Data Description: Overview2:43
- Pandas Data Description II: Sorting and Ranking26:51
- Pandas Data Description III: Descriptive Statistics31:40
- Pandas Data Description IV: Crosstabulations & Groupings30:06
- Pandas Data Visualization: Overview6:30
- Pandas Data Visualization II: Histograms42:34
- Pandas Data Visualization III: Boxplots33:00
- Pandas Data Visualization IV: Scatterplots40:00
- Pandas Data Visualization V: Pie Charts45:40
- Pandas Data Visualization VI: Line plots50:24
- Classification and Supervised Learning, overview17:31
- Logistic Regression Classifier1:00:00
- The Naive Bayes Classifier48:13
- K-Nearest Neighbor Classifier (KNN) [Extra Video]48:38
- The Decision Tree Classifier1:06:40
- The Random Forest Classifier50:05
- Linear Discriminant Analysis (LDA) [Extra Video]54:30
- The Voting Classifier46:39
- Section Overview3:04
- Artificial Neural Networks, Feedforward Networks, and the Multi-Layer Perceptron19:10
- Feedforward Multi-Layer Perceptrons for Classification tasks20:03
- eXtreme Gradient Boosting Classifier (XGBoost)1:12:35
About this course
Welcome to the course Master Classification with Pandas and Python! This three-in-one master class video course will teach you to master Classification, Python 3, Pandas 2 + 3, and advanced Data Handling. You will learn to master Classification with a number of advanced Classification techniques such as the XGBoost Classifier. You will learn to handle advanced model structures such as feedforward artificial neural networks for classification tasks. Python 3 is one of the most popular and useful programming langu…
Before you start
- Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended
- Access to a computer with an internet connection
- Programming experience is not needed and you will be taught everything you need
- The course only uses costless software
- Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included
Who it’s for
- Everyone who wants to learn to master Classification
- Everyone who wants to learn to Master Python 3 from scratch or the beginner level
- Everyone who wants to learn to Master Python 3 and knows another programming language
- Everyone who wants to reach the Master - intermediate Python programmer level as required by many advanced Udemy courses in Python, Data Science, or Machine Learning
- Everyone who wants to learn to Master the Pandas library
- Everyone who wants to learn Data Handling skills that work as a force multiplier and that they will have use of in their entire career
- Everyone who wants to learn advanced Data Handling and improve their capabilities and productivity
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