Course Content
Introduction to Machine Learning and Data Preprocessing
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1.1 Understanding Machine Learning
01:25:00
Types of machine learning: Supervised, Unsupervised, and Reinforcement Learning.
04:00:00
1.2 Real-World Applications
1.3 Python and Java for Machine Learning
Setting up the development environment for both languages.
1.4 Data Preprocessing Techniques
Handling missing data: Techniques in Python (Pandas, NumPy) and Java (Weka).
Data encoding: Label encoding and one-hot encoding.
Feature scaling: Standardization and normalization methods.
Splitting data into training and testing sets.
Module 2: Core Machine Learning Algorithms
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Linear Regression
Logistic Regression
Decision Trees
Random Forests
Unsupervised Learning Algorithms : Clustering
Principal Component Analysis (PCA)
Anomaly Detection
Machine Learning A-Z: Hands-On Python and java
About Lesson

Setting up a development environment is the first step in starting your machine learning journey with Python or Java. Here’s how to get started with each.

Python Development Environment

  1. Install Python: Download and install the latest version of Python from the official website.
  2. Set Up a Virtual Environment: Use venv to create isolated environments for projects. Run python -m venv env_name.
  3. Install Essential Libraries: Use pip to install libraries like NumPy, Pandas, Scikit-learn, and TensorFlow. Example: pip install numpy pandas scikit-learn tensorflow.
  4. Choose an IDE: Popular choices include PyCharm, VS Code, and Jupyter Notebook for code development and testing.

Java Development Environment

  1. Install JDK: Download and install the Java Development Kit (JDK) from the Oracle website.
  2. Set Up an IDE: IntelliJ IDEA and Eclipse are popular IDEs for Java development. Install your preferred IDE.
  3. Configure Libraries: Add necessary machine learning libraries like Weka or Deeplearning4j by configuring the project’s dependencies.
  4. Maven/Gradle Setup: Use Maven or Gradle for managing dependencies and building projects efficiently.
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