✍ Arjun Adhikari
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.
- Numpy Basics and Slicing
- Numpy Constants
- Numpy Properties
- Ones and Zeros Matrices
- Matrix Creation Routines
- Random Sampling
- Array Manipulation Routines
- Bitwise Operators
- Statistical Functions
- Arithmetic Operations
- Correlation
- Regression
- Matplotlib Basics
- Plotting Linear, Logarithmic and Geometric Spacing
- Pycharts, Barcharts and Legends
- Data Generation - Regression Data
- Data Generation - Classification
- Generating Data using Sk-learn
- Data Visualization in Subplots
- Exploring Common Sklearn Datasets
- Normal Distribution and Histogram
- Multivariate Normal Distribution
- Working with Pandas - Visualizing Movie Dataset
- Working with Pandas using MNIST Datasets
- Data Normalization and Standardization