Machine Learning With Python
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.
But, using the classic algorithms of machine learning, text is considered as a sequence of keywords; instead, an approach based on semantic analysis mimics the human ability to understand the meaning of a text.
Introduction to Python programming
- Data Types and Operations
- Statements and Syntax in Python
- Functions in Python
- Data Analysis with Python
- Vectorization data in Numpy
- File Operations
- Python: Data Manipulation in Pandas
- Python: Data analysis - Visualization with MATPLOTLIB, SEABORN.
Introduction to Machine Learning
- What is machine learning?
- What are the use case of Machine learning?
- Statistical learning vs. Machine learning
- Iteration and evaluation
- Major Classes of Learning Algorithms -Supervised vs Unsupervised Learning
- Different Phases of Predictive Modelling (Data Pre-processing, Sampling, Model Building, Validation)
- Concept of Overfitting and Under fitting (Bias-Variance Trade off) & Performance Metrics
- Types of Cross validation(Train & Test, Bootstrapping, K-Fold validation etc)
Supervised Learning
- Linear Regression
- Logistic regression
- Generalization & Non Linearity
- Recursive Partitioning(Decision Trees)
- Ensemble Models(Random Forest, Bagging & Boosting(ada, gbm etc))
- Support Vector Machines(SVM)
- K-Nearest neighbours
- Naive Bayes
Unsupervised Learning
- K-means clustering
- Challenges of unsupervised learning and beyond K-means
Projects
Two certifications will be provided to participants:
- Institution Certification certified by DOIS Education & Technologies Private Limited
Duration of Course: 50Hrs
Course Price : 12,500 INR + GST OR 197 USD