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Data Science - Advanced
Data Science Foundation
What is Data? (1:57)
What is Data? - Quiz
Types of Data (3:28)
Types of Data - Quiz
Types of Data Sources (4:04)
Types of Data Sources - Quiz
Common Data Storage Units of Measurement (1:38)
Common Data Storage Units of Measurement - Quiz
Characteristics of Data (1:54)
Characteristics of Data - Quiz
Introduction to Artificial Intelligence and Data Science (5:25)
Introduction to Artificial Intelligence and Data Science - Quiz
Need of AI – ML in Business (5:12)
Need of AI – ML in Business - Quiz
Applications of Data Science in Business (4:34)
Applications of Data Science in Business - Quiz
Dimensionality Reduction – Feature Selection Techniques (5:32)
Dimensionality Reduction – Feature Selection Techniques - Quiz
Dimensionality Reduction - Feature Extraction (3:03)
Dimensionality Reduction - Feature Extraction - Quiz
Introduction to Feature Engineering (6:17)
Introduction to Feature Engineering - Quiz
Outlier Detection and Treatment (4:17)
Outlier Detection and Treatment - Quiz
Types of Analytics (4:39)
Types of Analytics - Quiz
Data Driven Decision Making (4:53)
Data Driven Decision Making - Quiz
Data Science Process
Harnessing Data (3:15)
Harnessing Data - Quiz
Data Acquisition (1:26)
Data Acquisition - Quiz
Data Preparation (2:28)
Data Preparation - Quiz
Data Modelling (3:36)
Data Modelling - Quiz
Data Visualization (7:28)
Data Visualization - Quiz
Data Science in Decision Making (6:36)
Data Science in Decision Making - Quiz
Data Security, Governance and Administration (3:39)
Data Security, Governance and Administration - Quiz
Introduction to Rubiscape Unified Data Science Platform and Toolkits (3:53)
Statistics in Data Science
Introduction to Statistics (3:30)
Introduction to Statistics - Quiz
Exploratory Data Analysis (5:01)
Exploratory Data Analysis - Quiz
Discrete Statistical Distributions (11:14)
Continuous Statistical Distributions (8:36)
Distributions - Quiz
Correlation (6:24)
Correlation - Quiz
Regression (9:12)
Regression - Quiz
Decision Making Fundamentals
The Decision Making Process (6:00)
The Decision Making Process - Quiz
Model Selection (6:16)
Model Selection - Quiz
Performance Parameters of Models (11:50)
Performance Parameters of Models - Quiz
Introduction to Model Life Cycle Train-Test-Validate-Publish (6:12)
Introduction to Model Life Cycle Train-Test-Validate-Publish - Quiz
Languages for Data Science
Introduction to Programming in Data Science (5:18)
Introduction to Programming in Data Science - Quiz
Introduction to Python (5:26)
Introduction to Python - Quiz
Python Installation and Setup (2:39)
Jupyter Notebook (3:56)
Basic Syntax of Python (7:27)
Basic Syntax of Python - Quiz
Python Data Types - List and Tuples (10:01)
Python Data Types - Numbers, String and Booleans (5:14)
Python Data Types - Sets and Dictionaries (6:53)
Python Data Types - Quiz
R Programming Language (8:34)
R Programming Language - Quiz
Installation and Setup of R (2:32)
Python Programming
Introduction to Arrays (7:06)
Introduction to Arrays - Quiz
Operators in Python (9:33)
Operators in Python - Quiz
Conditional Statements and Loops (8:45)
Conditional Statements and Loops - Quiz
Functions (7:13)
Functions - Quiz
Methods (5:02)
Methods - Quiz
Classes and Objects in Python (6:05)
Concepts in Object Oriented Programming (8:02)
Classes and Objects in Python - Quiz
Modules and Packages in Python (8:02)
Modules and Packages in Python - Quiz
Introduction to NumPy Library (20:14)
Introduction to NumPy Library - Quiz
Introduction to Pandas Library (13:07)
Introduction to Pandas Library - Quiz
Introduction to Scikit-Learn Library (9:21)
Introduction to Scikit-Learn Library - Quiz
R Programming
R Data Types and Variables (4:12)
R Data Types and Variables - Quiz
Operators in R (4:58)
Operators in R - Quiz
Data Structures in R (10:29)
Data Structures in R - Quiz
Loops and Statements in R (10:28)
Loops and Statements in R - Quiz
Functions (5:39)
Packages and Modules (5:27)
Packages and Modules - Quiz
Object Oriented Programming in R (4:09)
Object Oriented Programming in R - Quiz
Introduction to Machine Learning
What is Machine Learning (3:54)
What is Machine Learning - Quiz
Need of Machine Learning (4:15)
Need of Machine Learning - Quiz
Types of Machine Learning (5:45)
Types of Machine Learning - Quiz
Applications and Challenges in Machine Learning (4:45)
Applications and Challenges in Machine Learning - Quiz
Supervised Machine Learning
Linear Regression (6:01)
Linear Regression - Quiz
Gradient Descent (11:08)
Gradient Descent - Quiz
Performance Metric Calculations (10:14)
Performance Metric Calculations - Quiz
Logistic Regression (7:05)
Logistic Regression - Quiz
Support Vector Machine (SVM) (7:10)
Support Vector Machine (SVM) - Quiz
Introduction to Classification (4:11)
Introduction to Classification - Quiz
Confusion Matrix (7:56)
Confusion Matrix - Quiz
AUC-ROC Curve (4:06)
AUC-ROC Curve - Quiz
Introduction to Decision Tree (4:48)
Introduction to Decision Tree - Quiz
Entropy and Information Gain (4:21)
Entropy and Information Gain - Quiz
Gini Index (2:12)
Gini Index - Quiz
Pruning (1:56)
Pruning - Quiz
Ensemble Learning
Introduction to Ensemble Learning (6:20)
Introduction to Ensemble Learning - Quiz
Overfitting and Underfitting (10:07)
Overfitting and Underfitting - Quiz
Regularization (7:51)
Regularization - Quiz
Normalization (5:53)
Normalization - Quiz
Random Forest (7:35)
Random Forest - Quiz
Hyperparameter Tuning (7:32)
Hyperparameter Tuning - Quiz
Advanced Algorithms on Bagging and Boosting (24:36)
Advanced Algorithms on Bagging and Boosting - Quiz
Unsupervised Machine Learning
Introduction to the Unsupervised Learning (3:38)
Introduction to the Unsupervised Learning - Quiz
Centroid Based Clustering (6:14)
Centroid Based Clustering - Quiz
Distance Based Clustering (5:24)
Distance Based Clustering - Quiz
Density-Based Clustering (8:51)
Density-Based Clustering - Quiz
Incremental Clustering (2:53)
Incremental Clustering - Quiz
Introduction to Forecasting
Introduction of Forecasting (3:51)
Types of Forecasting (5:45)
Applications of Forecasting (1:57)
Forecasting - Quiz
Time Series Data
Components of Time Series (13:01)
Components of Time Series - Quiz
Models in Time Series (13:36)
Models in Time Series - Quiz
ACF and PACF (5:31)
Process of Forecasting (7:43)
Process of Forecasting - Quiz
Forecasting Algorithms and Evaluation Metrics
Moving Average (8:38)
Moving Average - Quiz
Exponential Smoothing (3:48)
Exponential Smoothing - Quiz
Holt’s Exponential Smoothing (2:18)
Holts Exponential Smoothing - Quiz
Holt-Winters Exponential Smoothing (4:00)
Holt’s Winter Exponential Smoothing - Quiz
Introduction to Evaluation Metrices (11:58)
Introduction to Evaluation Metrices - Quiz
AIC and BIC (6:24)
AIC and BIC - Quiz
Forecasting with Regression
Introduction to Regression (6:20)
Introduction to Regression - Quiz
Types of Regression (15:36)
Types of Regression - Quiz
Forecasting with Multiple Regression (6:09)
Forecasting with Multiple Regression - Quiz
Lurking Variable, Dummy Variable, Near Multicollinearity Variable (5:43)
Lurking Variable, Dummy Variable, Near Multicollinearity Variable - Quiz
Introduction to Natural Language Process
Introduction to NLP (4:15)
Introduction to NLP - Quiz
Applications of Natural Language Processing (4:53)
Applications of Natural Language Processing - Quiz
Applications of Clustering (3:46)
Applications of Clustering - Quiz
Textual Classification (2:58)
Textual Classification - Quiz
Text Classification using AdaBoost (Adaptive Boosting) (1:45)
Text Classification using AdaBoost (Adaptive Boosting) - Quiz
Text Classification Using SVM (1:45)
Text Classification Using SVM - Quiz
Naïve Bayes (6:51)
Naïve Bayes - Quiz
Performance Metrics (12:08)
Performance Metrics - Quiz
Data Preparation for Text Mining
Text Pre-processing (19:05)
Text Pre-processing - Quiz
Sentiment Analysis and Clustering
Sentiment Analysis (14:34)
Sentiment Analysis - Quiz
Classification and Topic Modelling
Topic Modeling (19:42)
Topic Modelling - Quiz
Introduction to Deep Learning
Introduction to Deep Learning (4:00)
Introduction to Deep Learning - Quiz
Introduction to Neural Networks (6:54)
Introduction to Neural Networks - Quiz
Back and Forward Backward Propagation (4:57)
Back and Forward Backward Propagation - Quiz
Activation Function and Optimization Function
Activation Function (5:38)
Activation Function - Quiz
Cost Functions (3:57)
Cost Functions - Quiz
Computational Graph (3:54)
Computational Graph - Quiz
ADAM (2:46)
RNN and CNN
Introduction to RNN (10:40)
Introduction to RNN - Quiz
LSTM (15:10)
LSTM - Quiz
Gated Recurrent Unit (GRU) (9:24)
Gated Recurrent Unit (GRU) - Quiz
Introduction to CNN (5:56)
Introduction to CNN - Quiz
Stride, Padding, and Feature Maps (4:58)
Stride, Padding, and Feature Maps - Quiz
Pooling Layer (2:19)
Pooling Layer - Quiz
Transfer Learning (2:27)
Transfer Learning - Quiz
Computer Vision
Image Formation and Sensing (15:54)
Image Formation and Sensing - Quiz
Image Analysis (4:38)
Image Analysis - Quiz
Image Pre-Processing (10:19)
Image Pre-Processing - Quiz
Edge Detection (15:12)
Edge Detection - Quiz
Image Segmentation (21:33)
Image Segmentation - Quiz
Feature Extraction (22:49)
Feature Extraction - Quiz
Pattern Recognition (5:34)
Pattern Recognition - Quiz
Supervised Classification Algorithms for Pattern Recognition (11:08)
Supervised Classification Algorithms for Pattern Recognition - Quiz
Unsupervised Classification or Clustering Algorithms for Pattern Recognition (11:12)
Unsupervised Classification or Clustering Algorithms for Pattern Recognition - Quiz
Getting Started with RubiStudio_OLD !!
Data Preparation - Descriptive Statistics (2:52)
Data Preparation - Descriptive Statistics - Hands On (1:36)
Data Preparation - Missing Value Imputation (2:08)
Data Preparation - Missing Value Imputation - Hands On (4:15)
Data Preparation - Outlier Detection (4:27)
Data Preparation - Outlier Detection - Hands On (3:54)
Data Preparation - Filtering (2:59)
Data Preparation - Filtering - Hands On (3:35)
Data Preparation - Aggregation (1:49)
Data Preparation - Aggregation - Hands On (2:06)
Data Preparation - Sampling (4:56)
Data Preparation - Sampling - Hands On (3:34)
Statistical Analysis - Correlation and Covariance (2:41)
Statistical Analysis - Correlation and Covariance - Hands On (2:57)
Statistical Analysis - Statistical Tests (1:57)
Statistical Analysis - Statistical Tests - Hands On (4:22)
Statistical Analysis - ANOVA (2:38)
Statistical Analysis - ANOVA - Hands On (2:46)
Statistical Analysis - Hypothesis Testing - Parametric (3:31)
Statistical Analysis - Hypothesis Testing - Parametric - Hands On (4:24)
Statistical Analysis - Hypothesis Testing - Non Parametric (3:42)
Statistical Analysis - Hypothesis Testing – Non-Parametric - Hands On (4:15)
Code Fusion - RubiPython (3:42)
Code Fusion RubiPython - Hands On (5:11)
Classification (3:38)
Classification - Hands On (6:42)
Classification - Hyperparameter Optimization (3:19)
Classification - Hyperparameter Optimization - Hands On (4:36)
Regression Analysis (3:36)
Regression Analysis - Hands On (6:46)
Regression - Hyperparameter Optimization (3:01)
Regression – Hyperparameter Optimization - Hands On (4:49)
Clustering (3:17)
Clustering - Hands On (5:49)
Association Rule Mining (3:47)
Association Rule Mining - Hands On (5:16)
AutoML (2:21)
Auto ML - Hands On (6:40)
End to End ML Project (3:11)
End to End ML Project - Hands On (12:39)
Feedback
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Components of Time Series
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