Machine Learning

Python with Machine Learning refers to the use of the Python programming language for developing and deploying machine learning models. Machine learning is a subfield of artificial intelligence that enables computers to learn and improve from experience without being explicitly programmed. 

Python is a popular language for machine learning due to its simplicity, readability, and extensive libraries such as NumPy, Pandas, and Scikit-learn. With Python, developers can easily preprocess data, create machine learning models, and perform data visualization. 

Python’s rich library of machine learning tools makes it an ideal language for building models for various applications, such as natural language processing, computer vision, and predictive analytics. 

Python with Machine Learning course is an educational program designed to teach individuals the skills and tools necessary to develop and deploy machine learning models using Python.

What will you learn?

• Introduction
• Python in machine learning
• What is machine learning
• Machine learning features
• Benefits of Machine learning
• Relationship between data science and machine learning
• Applications of machine learning algorithm
• How to define a problem
• How to Prepare data
• Evaluating algorithms
• Improving Results
• Presenting Results
• Environmental Setup
• Libraries and packages installation(numpy, pandas, matplotlib)
• Types Of Learning
• Machine learning
• Concepts of learning (supervised, unsupervised, semi-supervised)
• Data Processing
• Data preprocessing
• processing techniques
• scaling
• Normalization
• Binarization
• Data Analysis
• Summarizing Dataset
• Math Refresher
• Linear algebra concepts
• Eigen values, Eigen vectors
• Calculus
• Accuracy
• Precision
• Recall
• Machine Learning Techniques
• Classification
• Applications of Classification
• Regression
• Clustering
• Clustering Algorithm
• Visualization
• Decision Making
• Algorithm
• SVM
• KNN
• K-MEANS
• Decision Tree
• Linear Regression
• Logistic Regression
• Kernel Support vector machines
• Random forest classifier