The Implementation Methodology is based upon Enterprise Project Methodology with special attention to the capabilities that Ab Initio software provides for complex and/or data intensive applications and systems. This methodology has been built on various experiences utilizing Ab Initio software. Just as the functionality of Ab Initio software is ever expanding in meeting (and often exceeding) market need, so too does Ab Initio methodology.
Machine Learning Online Training Course Content
Week 1
Introduction to Python Programming Language
- Lists
- Sets
- Tuples
- Dictionaries
Week 2
Introduction to Python for Data Science
- Numpy
- Pandas
- Advanced Pandas Tricks
- Exploratory Data Analysis
- Data Cleaning
- Data Preparation
Week 3
Introduction to Data Analysis
- Groupby
- Aggregate Functions
- Lambas
- Functions
- Classes
- Definitions
- Filter
- Matrices
- Queries
- Data Frame Operations
Week 4
Introduction to Data Visualization
- Introduction to Pandas for Plotting
- Types of Charts
- Univariate Analysis
- Bivariate Analysis
- Multivariate Analysis
- Matplotlib
- Seaborn
- Plotly
- Animated Data Visualizations
- Geo Spatial Data Visualizations
- Creating Dashboards in Python
Week 5
Introduction to Data Preprocessing
- Feature Engineering
- Feature Extraction
- Feature Selection Strategies
- Types of Feature Selection
- Correlation
- Heatmaps
- Data Preparation
- Data Manipulation
Week 6
Introduction to Machine Learning
- Introduction to Types of Machine Learning
- Supervised Learning Techniques
- Regression Analysis
- Linear Regression
- Lasso Regression
- Ridge Regression
- Elastic Net Regression
- Metrics for Regression
Week 7
Introduction to Classification Algorithms
- Logistic Regression
- Decision Trees
- Random Forests
- K Nearest Neighbors
- Support Vector Machines
- Naive Bayes Theorem
- Ada Boost
- Metrics for Classification
Week 8
Introduction to Unsupervised Learning
- Types of Clustering Techniques
- K-Means Clustering
- Hierarchial Clustering
- Dimensionality Reduction Techniques
- PCA
- LDA
- Difference between LDA and PCA
Week 9
Introduction to Advanced Machine Learning Tricks
- Cross Validation Techniques
- Grid Search
- Hyper Parameter Tuning
- Ensembling Techniques
- Model Validation Techniques
- Model Explanation
