Machine learning course for advanced learners by Antrix Academy of Data Science

Machine Learning with Python

30 +hrs.
Live Mentoring
40 +hrs.
Coding Assignments
4+
Real-Life Projects
3+
Industry cases

Modules Included
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)

Introduction to CARET package

Introduction to H2O package

Supervised Learning
Linear Regression

Logistic regression

Generalization & Non Linearity

Recursive Partitioning(Decision Trees)

Ensemble Models(Random Forest, Bagging & Boosting(ada, gbm etc))

Artificial Neural Networks(ANN)

Support Vector Machines(SVM)

K-Nearest neighbours

Naive Bayes

Unsupervised Learning
K-means clustering

Challenges of unsupervised learning and beyond K-means

Recommendation Engine
Market Basket Analysis

Collaborative Filtering

Social Media And Text Analytics Using Python
Social Media – Characteristics of Social Media

Applications of Social Media Analytics

Metrics(Measures Actions) in social media analytics Examples & Actionable Insights using Social Media Analytics

Text Analytics – Sentiment Analysis using Python

Text Analytics – Word cloud analysis using RPython

Text Mining Social Network Analysis And NPL And NLP