Principal Component Analysis (PCA) explained with a simple example

First live interaction regarding data science

Basics of Pandas - A Python Library

Basics of Python

Feature Selection, Feature Selection using scikit-learn and Feature Engineering

Train test split in sklearn, cross validation and cross validation for time series data

What is “Curse of Dimensionality” and how to overcome?

No Free Lunch Theorem in simple words

Bias Variance Tradeoff

Preprocessing: Creating Dummy Variables, Converting Ordinal Variables, Log Transformation

How to identify and handle outliers using Python

Learn Data Science and Machine Learning with simple example

Handling Missing Values using Python

Scales of Measurement - Data types: Nominal, Ordinal, Interval and Ratio scale

Confusion matrix accuracy, recall (sensitivity) and specificity explained with a simple example

Confusion matrix, recall, precision, accuracy explained with an example

Cluster analysis, linkages, hierarchical and K-means clustering

Principal Component Analysis (PCA) explained with a simple example